Latest News from MarkTechPost
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Top 10 AI Agent and Agentic AI News Blogs (2025 Update)
In the rapidly evolving field of agentic AI and AI Agents, staying informed is essential.Here’s a comprehensive, up-to-date list of the Top 10 AI Agent and Agentic AI News Blogs (2025 Update)—from industry leaders to academic voices—offering insights, tutorials, and reviews focused on AI agents and Agentic AI in 2025.The post Top 10 AI Agent and Agentic AI News Blogs (2025 Update) appeared first on MarkTechPost.
11 hours ago
An Implementation Guide to Build a Modular Conversational AI Agent with Pipecat and HuggingFace
In this tutorial, we explore how we can build a fully functional conversational AI agent from scratch using the Pipecat framework.We walk through setting up a Pipeline that links together custom FrameProcessor classes, one for handling user input and generating responses with a HuggingFace model, and another for formatting and displaying the conversation flow.The post An Implementation Guide to Build a Modular Conversational AI Agent with Pipecat and HuggingFace appeared first on MarkTechPost.
12 hours ago
Want the Latest AI Agent and Agentic AI News? These 10 Websites Are a Must-Visit! (2025 Update)
In the rapidly evolving field of agentic AI and AI Agents, staying informed is essential.Here’s a comprehensive, up-to-date list of the top blogs and websites—from industry leaders to academic voices—offering insights, tutorials, and reviews focused on AI agents and Agentic AI in 2025.These 10 Websites Are a Must-Visit!
12 hours ago
Why Docker Matters for Artificial Intelligence AI Stack: Reproducibility, Portability, and Environment Parity
Artificial intelligence and machine learning workflows are notoriously complex, involving fast-changing code, heterogeneous dependencies, and the need for rigorously repeatable results.By approaching the problem from basic principles—what does AI actually need to be reliable, collaborative, and scalable—we find that container technologies like Docker are not a convenience, but a necessity for modern ML practitioners.The post Why Docker Matters for Artificial Intelligence AI Stack: Reproducibility, Portability, and Environment Parity appeared first on MarkTechPost.
13 hours ago
Mistral AI Unveils Mistral Medium 3.1: Enhancing AI with Superior Performance and Usability
Mistral AI has introduced Mistral Medium 3.1, setting new standards in multimodal intelligence, enterprise readiness, and cost-efficiency for large language models (LLMs).Building on its rapidly expanding AI, Mistral continues to position itself as a European leader, pushing forward with frontier-class capabilities while breaking cost and deployment barriers.The post Mistral AI Unveils Mistral Medium 3.1: Enhancing AI with Superior Performance and Usability appeared first on MarkTechPost.
16 hours ago
Nebius AI Advances Open-Weight LLMs Through Reinforcement Learning for Capable SWE Agents
The landscape of software engineering automation is evolving rapidly, driven by advances in Large Language Models (LLMs).However, most approaches to training capable agents rely on proprietary models or costly teacher-based methods, leaving open-weight LLMs with limited capabilities in real-world scenarios.A team of researchers from Nebius AI and Humanoid introduced a reinforcement learning framework […]
16 hours ago
NVIDIA AI Releases ProRLv2: Advancing Reasoning in Language Models with Extended Reinforcement Learning RL
ProRLv2 is the latest version of NVIDIA’s Prolonged Reinforcement Learning (ProRL), designed specifically to push the boundaries of reasoning in large language models (LLMs).By scaling reinforcement learning (RL) steps from 2,000 up to 3,000, ProRLv2 systematically tests how extended RL can unlock new solution spaces, creativity, and high-level reasoning that were […]The post NVIDIA AI Releases ProRLv2: Advancing Reasoning in Language Models with Extended Reinforcement Learning RL appeared first on MarkTechPost.
Meet LEANN: The Tiniest Vector Database that Democratizes Personal AI with Storage-Efficient Approximate Nearest Neighbor (ANN) Search Index
Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) search.However, the ANN data structure brings excessive storage overhead, often 1.5 to 7 times the size of the original raw data.The post Meet LEANN: The Tiniest Vector Database that Democratizes Personal AI with Storage-Efficient Approximate Nearest Neighbor (ANN) Search Index appeared first on MarkTechPost.
Zhipu AI Releases GLM-4.5V: Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Zhipu AI has officially released and open-sourced GLM-4.5V, a next-generation vision-language model (VLM) that significantly advances the state of open multimodal AI.Key Features and Design Innovations […]The post Zhipu AI Releases GLM-4.5V: Versatile Multimodal Reasoning with Scalable Reinforcement Learning appeared first on MarkTechPost.
Case Studies: Real-World Applications of Context Engineering
Context engineering has become a transformative force in moving from experimental AI demos to robust, production-grade systems across various industries.Below are distilled examples and evidence of real-world impact: 1. Insurance: Five Sigma & Agentic Underwriting 2.The post Case Studies: Real-World Applications of Context Engineering appeared first on MarkTechPost.
NVIDIA AI Introduces End-to-End AI Stack, Cosmos Physical AI Models and New Omniverse Libraries for Advanced Robotics
Nvidia made major waves at SIGGRAPH 2025 by unveiling a suite of new Cosmos world models, robust simulation libraries, and cutting-edge infrastructure—all designed to accelerate the next era of physical AI for robotics, autonomous vehicles, and industrial applications.Let’s break down the technological details, what this means for developers, and why it matters to the […]The post NVIDIA AI Introduces End-to-End AI Stack, Cosmos Physical AI Models and New Omniverse Libraries for Advanced Robotics appeared first on MarkTechPost.
Building a Secure and Memory-Enabled Cipher Workflow for AI Agents with Dynamic LLM Selection and API Integration
In this tutorial, we walk through building a compact but fully functional Cipher-based workflow.We start by securely capturing our Gemini API key in the Colab UI without exposing it in code.We then implement a dynamic LLM selection function that can automatically switch between OpenAI, Gemini, or Anthropic based on which API key is […]
NuMind AI Releases NuMarkdown-8B-Thinking: A Reasoning Breakthrough in OCR and Document-to-Markdown Conversion
NuMind AI has officially released NuMarkdown-8B-Thinking, an open-source (MIT License) reasoning OCR Vision-Language Model (VLM) that redefines how complex documents are digitized and structured.Unlike traditional OCR systems, NuMarkdown-8B-Thinking doesn’t just extract text—it thinks about a document’s layout, structure, and formatting before generating a precise, ready-to-use Markdown file.This makes it the first reasoning VLM […]
Genie Envisioner: A Unified Video-Generative Platform for Scalable, Instruction-Driven Robotic Manipulation
Embodied AI agents that can perceive, think, and act in the real world mark a key step toward the future of robotics.A central challenge is building scalable, reliable robotic manipulation, the skill of deliberately interacting with and controlling objects through selective contact.The post Genie Envisioner: A Unified Video-Generative Platform for Scalable, Instruction-Driven Robotic Manipulation appeared first on MarkTechPost.
The Best Chinese Open Agentic/Reasoning Models (2025): Expanded Review, Comparative Insights & Use Cases
China continues to set the pace in open-source large-language-model innovation, especially for agentic architectures and deep reasoning.Here is a comprehensive, up-to-date guide to the best Chinese open agentic/reasoning models, expanded with the newest and most influential entrants.1. Kimi K2 (Moonshot AI) 2.
The Complete Guide to DeepSeek-R1-0528 Inference Providers: Where to Run the Leading Open-Source Reasoning Model
DeepSeek-R1-0528 has emerged as a groundbreaking open-source reasoning model that rivals proprietary alternatives like OpenAI’s o1 and Google’s Gemini 2.5 Pro.With its impressive 87.5% accuracy on AIME 2025 tests and significantly lower costs, it’s become the go-to choice for developers and enterprises seeking powerful AI reasoning capabilities.This comprehensive guide covers all the major […]
Building an Advanced Portfolio Analysis and Market Intelligence Tool with OpenBB
In this tutorial, we dive deep into the advanced capabilities of OpenBB to perform comprehensive portfolio analysis and market intelligence.We start by constructing a tech-focused portfolio, fetching historical market data, and computing key performance metrics.We then explore advanced technical indicators, sector-level performance, market sentiment, and correlation-based risk analysis.
AI-Driven Antitrust and Competition Law: Algorithmic Collusion, Self-Learning Pricing Tools, and Legal Challenges in the US and EU
AI in Market Economics and Pricing Algorithms AI-driven pricing models, particularly those utilizing reinforcement learning (RL), can lead to outcomes resembling traditional collusion, fundamentally altering market dynamics.Unlike human-set strategies in oligopoly models, AI agents, like Q-learning, autonomously learn pricing strategies from data, often resulting in supra-competitive pricing due to agents’ ability to detect rivals’ […]The post AI-Driven Antitrust and Competition Law: Algorithmic Collusion, Self-Learning Pricing Tools, and Legal Challenges in the US and EU appeared first on MarkTechPost.
Using RouteLLM to Optimize LLM Usage
RouteLLM is a flexible framework for serving and evaluating LLM routers, designed to maximize performance while minimizing cost.Key features: In this tutorial, we’ll walk through how to: Installing the dependencies Loading OpenAI API Key To get an OpenAI API key, visit https://platform.openai.com/settings/organization/api-keys and generate a new key.The post Using RouteLLM to Optimize LLM Usage appeared first on MarkTechPost.
From 100,000 to Under 500 Labels: How Google AI Cuts LLM Training Data by Orders of Magnitude
Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that slashes the amount of required training data by up to 10,000x, while maintaining or even improving model quality.This approach centers on active learning and focusing expert labeling efforts on the most informative examples—the “boundary cases” where model uncertainty peaks.The post From 100,000 to Under 500 Labels: How Google AI Cuts LLM Training Data by Orders of Magnitude appeared first on MarkTechPost.
AI Agent Trends of 2025: A Transformative Landscape
The year 2025 marks a defining moment in the evolution of artificial intelligence, ushering in an era where agentic systems—autonomous AI agents capable of complex reasoning and coordinated action—are transforming enterprise workflows, research, software development, and day-to-day user experiences.This articles focuses on five core AI agent trends for 2025: Agentic RAG, Voice Agents, AI […]The post AI Agent Trends of 2025: A Transformative Landscape appeared first on MarkTechPost.
9 Agentic AI Workflow Patterns Transforming AI Agents in 2025
AI agents are at a pivotal moment: simply calling a language model is no longer enough for production-ready solutions.In 2025, intelligent automation depends on orchestrated, agentic workflows—modular coordination blueprints that transform isolated AI calls into systems of autonomous, adaptive, and self-improving agents.Here’s how nine workflow patterns can unlock the next generation of scalable, […]
Building an Advanced PaperQA2 Research Agent with Google Gemini for Scientific Literature Analysis
In this tutorial, we walk through building an advanced PaperQA2 AI Agent powered by Google’s Gemini model, designed specifically for scientific literature analysis.We set up the environment in Google Colab/Notebook, configure the Gemini API, and integrate it seamlessly with PaperQA2 to process and query multiple research papers.The post Building an Advanced PaperQA2 Research Agent with Google Gemini for Scientific Literature Analysis appeared first on MarkTechPost.
Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning
Introduction Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive applications.Retrieval-Augmented Generation (RAG) frameworks attempt to solve this by incorporating external knowledge into language generation.The post Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning appeared first on MarkTechPost.
Mixture-of-Agents (MoA): A Breakthrough in LLM Performance
The Mixture-of-Agents (MoA) architecture is a transformative approach for enhancing large language model (LLM) performance, especially on complex, open-ended tasks where a single model can struggle with accuracy, reasoning, or domain specificity.How the Mixture-of-Agents Architecture Works Why Is MoA Superior to Single-Model LLMs?The post Mixture-of-Agents (MoA): A Breakthrough in LLM Performance appeared first on MarkTechPost.
FAQs: Everything You Need to Know About AI Agents in 2025
What is an AI agent (2025 definition)?An AI agent is a goal-directed loop built around a capable model (often multimodal) and a set of tools/actuators.The post FAQs: Everything You Need to Know About AI Agents in 2025 appeared first on MarkTechPost.
Technical Deep Dive: Automating LLM Agent Mastery for Any MCP Server with MCP- RL and ART
Introduction Empowering large language models (LLMs) to fluidly interact with dynamic, real-world environments is a new frontier for AI engineering.The Model Context Protocol (MCP) specification offers a standardized gateway through which LLMs can interface with arbitrary external systems—APIs, file systems, databases, applications, or tools—without needing custom glue code or brittle prompt hacks each time.The post Technical Deep Dive: Automating LLM Agent Mastery for Any MCP Server with MCP- RL and ART appeared first on MarkTechPost.
Alibaba Qwen Unveils Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507: Refreshing the Importance of Small Language Models
Smaller Models with Smarter Performance and 256K Context Support Alibaba’s Qwen team has introduced two powerful additions to its small language model lineup: Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507.Despite having only 4 billion parameters, these models deliver exceptional capabilities across general-purpose and expert-level tasks while running efficiently on consumer-grade hardware.Both are designed with native 256K token […]
VL-Cogito: Advancing Multimodal Reasoning with Progressive Curriculum Reinforcement Learning
Multimodal reasoning, where models integrate and interpret information from multiple sources such as text, images, and diagrams, is a frontier challenge in AI.VL-Cogito is a state-of-the-art Multimodal Large Language Model (MLLM) proposed by DAMO Academy (Alibaba Group) and partners, introducing a robust reinforcement learning pipeline that fundamentally upgrades the reasoning skills of large models […]The post VL-Cogito: Advancing Multimodal Reasoning with Progressive Curriculum Reinforcement Learning appeared first on MarkTechPost.
A Developer’s Guide to OpenAI’s GPT-5 Model Capabilities
In this tutorial, we’ll explore the new capabilities introduced in OpenAI’s latest model, GPT-5.The update brings several powerful features, including the Verbosity parameter, Free-form Function Calling, Context-Free Grammar (CFG), and Minimal Reasoning.We’ll look at what they do and how to use them in practice.
Cloudflare vs Perplexity: The Battle Over AI Web Scraping Heats Up
Reading through Cloudflare’s detailed exposé and the extensive media coverage, the controversy surrounding Perplexity AI’s web scraping practices is deeper — and more polarizing — than it first appears.Cloudflare accuses Perplexity of systematically ignoring website blocks and masking its identity to scrape data from sites that have opted out, raising serious questions about ethics, […]The post Cloudflare vs Perplexity: The Battle Over AI Web Scraping Heats Up appeared first on MarkTechPost.
A Code Implementation to Build a Multi-Agent Research System with OpenAI Agents, Function Tools, Handoffs, and Session Memory
In this tutorial, we begin by showcasing the power of OpenAI Agents as the driving force behind our multi-agent research system.We set up our Colab environment with the OpenAI API key, installed the OpenAI Agents SDK, and then defined custom function tools, web_search, analyze_data, and save_research, to harness the agents’ capabilities.The post A Code Implementation to Build a Multi-Agent Research System with OpenAI Agents, Function Tools, Handoffs, and Session Memory appeared first on MarkTechPost.
Meta CLIP 2: The First Contrastive Language-Image Pre-training (CLIP) Trained with Worldwide Image-Text Pairs from Scratch
Contrastive Language-Image Pre-training (CLIP) has become important for modern vision and multimodal models, enabling applications such as zero-shot image classification and serving as vision encoders in MLLMs.However, most CLIP variants, including Meta CLIP, are limited to English-only data curation, ignoring a significant amount of non-English content from the worldwide web.The post Meta CLIP 2: The First Contrastive Language-Image Pre-training (CLIP) Trained with Worldwide Image-Text Pairs from Scratch appeared first on MarkTechPost.
Proxy Servers Explained: Types, Use Cases & Trends in 2025 [Technical Deep Dive]
Introduction A proxy server is a vital intermediary between clients and destination servers, facilitating both security and speed in the modern internet.In 2025, with digital privacy, enterprise security, and data-driven automation to the forefront, proxy servers are indispensable for individuals and organizations.The global web proxy market is projected to reach $50 billion by […]
What is a Proxy Server? A Technical Deep Dive with Trends and Top Proxy Servers (2025 Edition)
Introduction A proxy server is a vital intermediary between clients and destination servers, facilitating both security and speed in the modern internet.In 2025, with digital privacy, enterprise security, and data-driven automation to the forefront, proxy servers are indispensable for individuals and organizations.The global web proxy market is projected to reach $50 billion by […]
Meet CoAct-1: A Novel Multi-Agent System that Synergistically Combines GUI-based Control with Direct Programmatic Execution
A Team of researchers from USC, Salesforce AI and University of Washington have introduced CoAct-1, a pioneering multi-agent computer-using agent (CUA) that marks a significant leap in autonomous computer operation.By elevating coding to a first-class action—on par with traditional GUI manipulation—CoAct-1 overcomes longstanding challenges of efficiency and reliability in complex, long-horizon computer tasks.The post Meet CoAct-1: A Novel Multi-Agent System that Synergistically Combines GUI-based Control with Direct Programmatic Execution appeared first on MarkTechPost.
NVIDIA XGBoost 3.0: Training Terabyte-Scale Datasets with Grace Hopper Superchip
NVIDIA has unveiled a major milestone in scalable machine learning: XGBoost 3.0, now able to train gradient-boosted decision tree (GBDT) models from gigabytes up to 1 terabyte (TB) on a single GH200 Grace Hopper Superchip.The breakthrough enables companies to process immense datasets for applications like fraud detection, credit risk modeling, and algorithmic trading, simplifying […]The post NVIDIA XGBoost 3.0: Training Terabyte-Scale Datasets with Grace Hopper Superchip appeared first on MarkTechPost.
A Coding Implementation to Advanced LangGraph Multi-Agent Research Pipeline for Automated Insights Generation
We build an advanced LangGraph multi-agent system that leverages Google’s free-tier Gemini model for end-to-end research workflows.In this tutorial, we start by installing the necessary libraries, LangGraph, LangChain-Google-GenAI, and LangChain-Core, then walk through defining a structured state, simulating research and analysis tools, and wiring up three specialized agents: Research, Analysis, and Report.The post A Coding Implementation to Advanced LangGraph Multi-Agent Research Pipeline for Automated Insights Generation appeared first on MarkTechPost.
OpenAI Just Released GPT-5: The Smartest, Fastest, and Most Useful OpenAI Model
OpenAI just released GPT-5, marking a substantial leap in generative AI, introducing advanced capabilities that cater to both general and highly specialized tasks.This article provides a deep technical dive into GPT-5’s architecture, new features, performance improvements, and the strategic implications for developers, enterprises, and the AI ecosystem.The post OpenAI Just Released GPT-5: The Smartest, Fastest, and Most Useful OpenAI Model appeared first on MarkTechPost.
Google AI Releases DeepPolisher: A New Deep Learning Tool that Improves the Accuracy of Genome Assemblies by Precisely Correcting Base-Level Errors
Google AI, in collaboration with the UC Santa Cruz Genomics Institute, has introduced DeepPolisher, a cutting-edge deep learning tool designed to substantially improve the accuracy of genome assemblies by correcting base-level errors.Its notable efficacy was recently demonstrated in advancing the Human Pangenome Reference, a major milestone in genomics research.The post Google AI Releases DeepPolisher: A New Deep Learning Tool that Improves the Accuracy of Genome Assemblies by Precisely Correcting Base-Level Errors appeared first on MarkTechPost.
Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models
Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.However, achieving stable and reliable training dynamics is a challenge when scaling RL with larger computational resources.The post Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models appeared first on MarkTechPost.
MoE Architecture Comparison: Qwen3 30B-A3B vs. GPT-OSS 20B
This article provides a technical comparison between two recently released Mixture-of-Experts (MoE) transformer models: Alibaba’s Qwen3 30B-A3B (released April 2025) and OpenAI’s GPT-OSS 20B (released August 2025).Both models represent distinct approaches to MoE architecture design, balancing computational efficiency with performance across different deployment scenarios.The post MoE Architecture Comparison: Qwen3 30B-A3B vs. GPT-OSS 20B appeared first on MarkTechPost.
Google DeepMind Introduces Genie 3: A General Purpose World Model that can Generate an Unprecedented Diversity of Interactive Environments
Google DeepMind has announced Genie 3, a revolutionary AI system capable of generating interactive, physically consistent virtual worlds from simple text prompts.This marks a substantial leap in the field of world models—a class of AI designed to understand and simulate environments, not merely render them, but produce dynamic spaces you can move through and […]The post Google DeepMind Introduces Genie 3: A General Purpose World Model that can Generate an Unprecedented Diversity of Interactive Environments appeared first on MarkTechPost.
Model Context Protocol (MCP) FAQs: Everything You Need to Know in 2025
The Model Context Protocol (MCP) has rapidly become a foundational standard for connecting large language models (LLMs) and other AI applications with the systems and data they need to be genuinely useful.In 2025, MCP is widely adopted, reshaping how enterprises, developers, and end-users experience AI-powered automation, knowledge retrieval, and real-time decision making.The post Model Context Protocol (MCP) FAQs: Everything You Need to Know in 2025 appeared first on MarkTechPost.
This AI Paper Introduces C3: A Bilingual Benchmark Dataset and Evaluation Framework for Complex Spoken Dialogue Modeling
Spoken Dialogue Models (SDMs) are at the frontier of conversational AI, enabling seamless spoken interactions between humans and machines.Yet, as SDMs become integral to digital assistants, smart devices, and customer service bots, evaluating their true ability to handle the real-world intricacies of human dialogue remains a significant challenge.A new research paper from China […]
A Coding Implementation to Build a Self-Adaptive Goal-Oriented AI Agent Using Google Gemini and the SAGE Framework
In this tutorial, we dive into building an advanced AI agent system based on the SAGE framework, Self-Adaptive Goal-oriented Execution, using Google’s Gemini API.We walk through each core component of the framework: Self-Assessment, Adaptive Planning, Goal-oriented Execution, and Experience Integration.By combining these, we aim to create an intelligent, self-improving agent that can deconstruct […]
OpenAI Just Released the Hottest Open-Weight LLMs: gpt-oss-120B (Runs on a High-End Laptop) and gpt-oss-20B (Runs on a Phone)
OpenAI has just sent seismic waves through the AI world: for the first time since GPT-2 hit the scene in 2019, the company is releasing not one, but TWO open-weight language models.Meet gpt-oss-120b and gpt-oss-20b—models that anyone can download, inspect, fine-tune, and run on their own hardware.The post OpenAI Just Released the Hottest Open-Weight LLMs: gpt-oss-120B (Runs on a High-End Laptop) and gpt-oss-20B (Runs on a Phone) appeared first on MarkTechPost.
Too Much Thinking Can Break LLMs: Inverse Scaling in Test-Time Compute
Recent advances in large language models (LLMs) have encouraged the idea that letting models “think longer” during inference usually improves their accuracy and robustness.Practices like chain-of-thought prompting, step-by-step explanations, and increasing “test-time compute” are now standard techniques in the field.However, the Anthropic-led study “Inverse Scaling in Test-Time Compute” delivers a compelling counterpoint: in […]
A Coding Guide to Build a Scalable Multi-Agent System with Google ADK
In this tutorial, we explore the advanced capabilities of Google’s Agent Development Kit (ADK) by building a multi-agent system equipped with specialized roles and tools.We guide you through creating agents tailored for tasks such as web research, mathematical computation, data analysis, and content creation.By integrating Google Search, asynchronous execution, and modular architecture, we […]
Apple Researchers Introduce FastVLM: Achieving State-of-the-Art Resolution-Latency-Accuracy Trade-off in Vision Language Models
Vision Language Models (VLMs) allow both text inputs and visual understanding.However, image resolution is crucial for VLM performance for processing text and chart-rich data.Increasing image resolution creates significant challenges.
Is Vibe Coding Safe for Startups? A Technical Risk Audit Based on Real-World Use Cases
With limited engineering resources, many are exploring AI-driven development environments—collectively referred to as “Vibe Coding”—as a shortcut to launch minimum viable products (MVPs) quickly.These platforms promise seamless code generation from natural language prompts, AI-powered […]The post Is Vibe Coding Safe for Startups?
MiroMind-M1: Advancing Open-Source Mathematical Reasoning via Context-Aware Multi-Stage Reinforcement Learning
Large language models (LLMs) have recently demonstrated remarkable progress in multi-step reasoning, establishing mathematical problem-solving as a rigorous benchmark for assessing advanced capabilities.While proprietary models like GPT-4o and Claude Sonnet 4 lead performance, their closed-source nature impedes transparency and reproducibility.Addressing these gaps, MiroMind AI Released the MiroMind-M1 series, a fully open-source pipeline—spanning datasets, […]
Rubrics as Rewards (RaR): A Reinforcement Learning Framework for Training Language Models with Structured, Multi-Criteria Evaluation Signals
Reinforcement Learning with Verifiable Rewards (RLVR) allows LLMs to perform complex reasoning on tasks with clear, verifiable outcomes, with strong performance in mathematics and coding.However, many real-world scenarios lack such explicit verifiable answers, posing a challenge for training models without direct reward signals.The post Rubrics as Rewards (RaR): A Reinforcement Learning Framework for Training Language Models with Structured, Multi-Criteria Evaluation Signals appeared first on MarkTechPost.
Building a Comprehensive AI Agent Evaluation Framework with Metrics, Reports, and Visual Dashboards
In this tutorial, we walk through the creation of an advanced AI evaluation framework designed to assess the performance, safety, and reliability of AI agents.We begin by implementing a comprehensive AdvancedAIEvaluator class that leverages multiple evaluation metrics, such as semantic similarity, hallucination detection, factual accuracy, toxicity, and bias analysis.Using Python’s object-oriented programming, multithreading […]
Implementing Self-Refine Technique Using Large Language Models LLMs
This tutorial demonstrates how to implement the Self-Refine technique using Large Language Models (LLMs) with Mirascope, a powerful framework for building structured prompt workflows.Self-Refine is a prompt engineering strategy where the model evaluates its own output, generates feedback, and iteratively improves its response based on that feedback.The post Implementing Self-Refine Technique Using Large Language Models LLMs appeared first on MarkTechPost.
It’s Okay to Be “Just a Wrapper”: Why Solution-Driven AI Companies Win
In today’s rapidly evolving AI landscape, many founders and observers find themselves preoccupied with the idea that successful startups must build foundational technology from scratch.Nowhere is this narrative more prevalent than among those launching so-called “LLM wrappers” — companies whose core offering builds on top of large language models (LLMs) like GPT or Claude.The post It’s Okay to Be “Just a Wrapper”: Why Solution-Driven AI Companies Win appeared first on MarkTechPost.
Safeguarding Agentic AI Systems: NVIDIA’s Open-Source Safety Recipe
As large language models (LLMs) evolve from simple text generators to agentic systems —able to plan, reason, and autonomously act—there is a significant increase in both their capabilities and associated risks.Enterprises are rapidly adopting agentic AI for automation, but this trend exposes organizations to new challenges: goal misalignment, prompt injection, unintended behaviors, data leakage, […]The post Safeguarding Agentic AI Systems: NVIDIA’s Open-Source Safety Recipe appeared first on MarkTechPost.
9 Open Source Cursor Alternatives You Should Use in 2025
The demand for AI-powered coding tools has exploded—with open-source alternatives now rivaling commercial solutions like Cursor in features, flexibility, and privacy.Zed Zed is a high-performance, open-source code editor designed for both humans and AI collaboration.Built by the […]
Amazon Develops an AI Architecture that Cuts Inference Time 30% by Activating Only Relevant Neurons
Amazon researchers developed a new AI architecture that cuts inference time by 30% by selecting only task-relevant neurons, similar to how the brain uses specialized regions for specific tasks.This breakthrough approach addresses one of the biggest challenges facing large AI models: the computational expense and latency associated with activating every neuron for every request, […]The post Amazon Develops an AI Architecture that Cuts Inference Time 30% by Activating Only Relevant Neurons appeared first on MarkTechPost.
Microsoft Edge Launches Copilot Mode to Redefine Web Browsing for the AI Era
Microsoft has taken a major leap into the future of web browsing with the launch of Copilot Mode in Edge, positioning it as the company’s first real step toward an AI-native browser.This marks a pivotal moment not just for Edge, but for the entire concept of what a browser can be in the era […]The post Microsoft Edge Launches Copilot Mode to Redefine Web Browsing for the AI Era appeared first on MarkTechPost.
Creating a Knowledge Graph Using an LLM
In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM.While traditional NLP methods have been used for extracting entities and relationships, Large Language Models (LLMs) like GPT-4o-mini make this process more accurate and context-aware.LLMs are especially useful when working with messy, unstructured data.
Zhipu AI Just Released GLM-4.5 Series: Redefining Open-Source Agentic AI with Hybrid Reasoning
The landscape of AI foundation models is evolving rapidly, but few entries have been as significant in 2025 as the arrival of Z.ai’s GLM-4.5 series: GLM-4.5 and its lighter sibling GLM-4.5-Air.Unveiled by Zhipu AI, these models set remarkably high standards for unified agentic capabilities and open access, aiming to bridge the gap between reasoning, […]The post Zhipu AI Just Released GLM-4.5 Series: Redefining Open-Source Agentic AI with Hybrid Reasoning appeared first on MarkTechPost.
The U.S. White House Releases AI Playbook: A Bold Strategy to Lead the Global AI Race
The White House just released the U.S. AI Playbook—formally titled “America’s AI Action Plan”—a sweeping, high-impact federal strategy that clarifies one thing: the United States is going all in on artificial intelligence.Whether you’re in Silicon Valley, leading a Fortune 500, or managing a critical government agency, the message is unambiguous: scale AI fast, dismantle […]The post The U.S. White House Releases AI Playbook: A Bold Strategy to Lead the Global AI Race appeared first on MarkTechPost.
Building a Context-Aware Multi-Agent AI System Using Nomic Embeddings and Gemini LLM
In this tutorial, we walk through the complete implementation of an advanced AI agent system powered by Nomic Embeddings and Google’s Gemini.We design the architecture from the ground up, integrating semantic memory, contextual reasoning, and multi-agent orchestration into a single intelligent framework.Using LangChain, Faiss, and LangChain-Nomic, we equip our agents with the ability […]
VLM2Vec-V2: A Unified Computer Vision Framework for Multimodal Embedding Learning Across Images, Videos, and Visual Documents
Embedding models act as bridges between different data modalities by encoding diverse multimodal information into a shared dense representation space.However, existing multimodal embedding models are trained on datasets such as MMEB and M-BEIR, with most focus only […]The post VLM2Vec-V2: A Unified Computer Vision Framework for Multimodal Embedding Learning Across Images, Videos, and Visual Documents appeared first on MarkTechPost.
Key Factors That Drive Successful MCP Implementation and Adoption
The Model Context Protocol (MCP) is changing how intelligent agents interact with backend services, applications, and data.A successful MCP implementation project hinges on much more than writing protocol-compliant code.Systematic adoption involves architecture, security, user experience, and operational rigor.
NVIDIA AI Dev Team Releases Llama Nemotron Super v1.5: Setting New Standards in Reasoning and Agentic AI
The landscape of artificial intelligence continues to evolve rapidly, with breakthroughs that push the boundaries of what models can achieve in reasoning, efficiency, and application versatility.The latest release from NVIDIA—the Llama Nemotron Super v1.5—represents a remarkable leap in both performance and usability, especially for agentic and reasoning-intensive tasks.The post NVIDIA AI Dev Team Releases Llama Nemotron Super v1.5: Setting New Standards in Reasoning and Agentic AI appeared first on MarkTechPost.
Building a Multi-Node Graph-Based AI Agent Framework for Complex Task Automation
In this tutorial, we guide you through the development of an advanced Graph Agent framework, powered by the Google Gemini API.Our goal is to build intelligent, multi-step agents that execute tasks through a well-defined graph structure of interconnected nodes.The post Building a Multi-Node Graph-Based AI Agent Framework for Complex Task Automation appeared first on MarkTechPost.
Why Context Matters: Transforming AI Model Evaluation with Contextualized Queries
Language model users often ask questions without enough detail, making it hard to understand what they want.Current evaluation methods often […]The post Why Context Matters: Transforming AI Model Evaluation with Contextualized Queries appeared first on MarkTechPost.
GenSeg: Generative AI Transforms Medical Image Segmentation in Ultra Low-Data Regimes
Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning.In disciplines like dermatology, radiology, and cardiology, the need for precise segmentation—assigning a class to every pixel in a medical image—is acute.Yet, the main obstacle remains: the scarcity of large, expertly […]
REST: A Stress-Testing Framework for Evaluating Multi-Problem Reasoning in Large Reasoning Models
However, current evaluation approaches primarily focus on single-question testing, which reveals significant limitations.This article introduces REST (Reasoning Evaluation through Simultaneous Testing) — a novel multi-problem stress-testing framework designed to push LRMs beyond isolated problem-solving […]The post REST: A Stress-Testing Framework for Evaluating Multi-Problem Reasoning in Large Reasoning Models appeared first on MarkTechPost.
URBAN-SIM: Advancing Autonomous Micromobility with Scalable Urban Simulation
Micromobility solutions—such as delivery robots, mobility scooters, and electric wheelchairs—are rapidly transforming short-distance urban travel.Despite their growing popularity as flexible, eco-friendly transport alternatives, most micromobility devices still rely heavily on human control.The post URBAN-SIM: Advancing Autonomous Micromobility with Scalable Urban Simulation appeared first on MarkTechPost.
How Memory Transforms AI Agents: Insights and Leading Solutions in 2025
The importance of memory in AI agents cannot be overstated.As artificial intelligence matures from simple statistical models to autonomous agents, the ability to remember, learn, and adapt becomes a foundational capability.Memory distinguishes basic reactive bots from truly interactive, context-aware digital entities capable of supporting nuanced, humanlike interactions and decision-making.
NVIDIA AI Releases GraspGen: A Diffusion-Based Framework for 6-DOF Grasping in Robotics
Robotic grasping is a cornerstone task for automation and manipulation, critical in domains spanning from industrial picking to service and humanoid robotics.Despite decades of research, achieving robust, general-purpose 6-degree-of-freedom (6-DOF) grasping remains a challenging open problem.Recently, NVIDIA unveiled GraspGen, a novel diffusion-based grasp generation framework that promises to bring state-of-the-art (SOTA) performance with unprecedented […]
Google DeepMind Introduces Aeneas: AI-Powered Contextualization and Restoration of Ancient Latin Inscriptions
The discipline of epigraphy, focused on studying texts inscribed on durable materials like stone and metal, provides critical firsthand evidence for understanding the Roman world.The field faces numerous challenges including fragmentary inscriptions, uncertain dating, diverse geographical provenance, widespread use of abbreviations, and a large and rapidly growing corpus of over 176,000 Latin inscriptions, with […]The post Google DeepMind Introduces Aeneas: AI-Powered Contextualization and Restoration of Ancient Latin Inscriptions appeared first on MarkTechPost.
Building a GPU-Accelerated Ollama LangChain Workflow with RAG Agents, Multi-Session Chat Performance Monitoring
In this tutorial, we build a GPU‑capable local LLM stack that unifies Ollama and LangChain.We install the required libraries, launch the Ollama server, pull a model, and wrap it in a custom LangChain LLM, allowing us to control temperature, token limits, and context.The post Building a GPU-Accelerated Ollama LangChain Workflow with RAG Agents, Multi-Session Chat Performance Monitoring appeared first on MarkTechPost.
RoboBrain 2.0: The Next-Generation Vision-Language Model Unifying Embodied AI for Advanced Robotics
Advancements in artificial intelligence are rapidly closing the gap between digital reasoning and real-world interaction.At the forefront of this progress is embodied AI—the field focused on enabling robots to perceive, reason, and act effectively in physical environments.The post RoboBrain 2.0: The Next-Generation Vision-Language Model Unifying Embodied AI for Advanced Robotics appeared first on MarkTechPost.
EraRAG: A Scalable, Multi-Layered Graph-Based Retrieval System for Dynamic and Growing Corpora
Large Language Models (LLMs) have revolutionized many areas of natural language processing, but they still face critical limitations when dealing with up-to-date facts, domain-specific information, or complex multi-hop reasoning.Retrieval-Augmented Generation (RAG) approaches aim to address these gaps by allowing language models to retrieve and integrate information from external sources.The post EraRAG: A Scalable, Multi-Layered Graph-Based Retrieval System for Dynamic and Growing Corpora appeared first on MarkTechPost.
FEEDER: A Pre-Selection Framework for Efficient Demonstration Selection in LLMs
LLMs have demonstrated exceptional performance across multiple tasks by utilizing few-shot inference, also known as in-context learning (ICL).The main problem lies in selecting the most representative demonstrations from large training datasets.The post FEEDER: A Pre-Selection Framework for Efficient Demonstration Selection in LLMs appeared first on MarkTechPost.
Alibaba Qwen Introduces Qwen3-MT: Next-Gen Multilingual Machine Translation Powered by Reinforcement Learning
Alibaba has introduced Qwen3-MT (qwen-mt-turbo) via Qwen API, its latest and most advanced machine translation model, designed to break language barriers with unprecedented accuracy, speed, and flexibility.Trained on trillions of multilingual tokens, Qwen3-MT supports over 92 languages—covering more than 95% of the global population.Leveraging cutting-edge architecture, reinforcement learning, and rich customization options, it delivers […]
DualDistill and Agentic-R1: How AI Combines Natural Language and Tool Use for Superior Math Problem Solving
Existing long-CoT reasoning models have achieved state-of-the-art performance in mathematical reasoning by generating reasoning trajectories with iterative self-verification and refinement.However, open-source long-CoT models depend only on natural language reasoning traces, making them computationally expensive and prone to errors without verification mechanisms.The post DualDistill and Agentic-R1: How AI Combines Natural Language and Tool Use for Superior Math Problem Solving appeared first on MarkTechPost.
Unsupervised System 2 Thinking: The Next Leap in Machine Learning with Energy-Based Transformers
Artificial intelligence research is rapidly evolving beyond pattern recognition and toward systems capable of complex, human-like reasoning.The latest breakthrough in this pursuit comes from the introduction of Energy-Based Transformers (EBTs)—a family of neural architectures specifically designed to enable “System 2 Thinking” in machines without relying on domain-specific supervision or restrictive training signals.The post Unsupervised System 2 Thinking: The Next Leap in Machine Learning with Energy-Based Transformers appeared first on MarkTechPost.
A Coding Guide to Build a Tool-Calling ReAct Agent Fusing Prolog Logic with Gemini and LangGraph
In this tutorial, we are walking through a hands-on fusion of symbolic logic and generative AI.We set up PySwip to embed a Prolog knowledge base, wrap its predicates as LangChain tools, and then wire everything into a ReAct-style agent.Along the way, we are crafting family-relationship rules, mathematical predicates like factorial, and list utilities, […]
GitHub Introduces Vibe Coding with Spark: Revolutionizing Intelligent App Development in a Flash
GitHub has introduced Spark, a groundbreaking addition to its suite of developer tools, aimed at revolutionizing the way full-stack intelligent applications are built and deployed.With Spark, available in public preview for Copilot Pro+ subscribers, developers can go from idea to a fully deployed app in minutes—all using natural language prompts and without the usual […]The post GitHub Introduces Vibe Coding with Spark: Revolutionizing Intelligent App Development in a Flash appeared first on MarkTechPost.
Google Researchers Introduced LSM-2 with Adaptive and Inherited Masking (AIM): Enabling Direct Learning from Incomplete Wearable Data
Introduction Wearable devices are transforming health monitoring by enabling continuous collection of physiological and behavioral signals such as heart rate, activity, temperature, and skin conductance.However, the real-world data that these devices generate is highly prone to missingness due to sensor failures, device removal, charging, motion artifacts, battery-saving modes, and other interruptions.The post Google Researchers Introduced LSM-2 with Adaptive and Inherited Masking (AIM): Enabling Direct Learning from Incomplete Wearable Data appeared first on MarkTechPost.
7 MCP Server Best Practices for Scalable AI Integrations in 2025
Model Context Protocol (MCP) servers have fast become a backbone for scalable, secure, and agentic application integrations, especially as organizations seek to expose their services to AI-driven workflows while keeping developer experience, performance, and security intact.Here are seven data-driven best practices for building, testing, and packaging robust MCP servers.The post 7 MCP Server Best Practices for Scalable AI Integrations in 2025 appeared first on MarkTechPost.
This AI Paper Introduces PyVision: A Python-Centric Framework Where AI Writes Tools as It Thinks
Visual reasoning tasks challenge artificial intelligence models to interpret and process visual information using both perception and logical reasoning.These tasks span a wide range of applications, including medical diagnostics, visual math, symbolic puzzles, and image-based question answering.The post This AI Paper Introduces PyVision: A Python-Centric Framework Where AI Writes Tools as It Thinks appeared first on MarkTechPost.
GPT-4o Understands Text, But Does It See Clearly? A Benchmarking Study of MFMs on Vision Tasks
Multimodal foundation models (MFMs) like GPT-4o, Gemini, and Claude have shown rapid progress recently, especially in public demos.While their language skills are well studied, their true ability to understand visual information remains unclear.Most benchmarks used today focus heavily on text-based tasks, such as VQA or classification, which often reflect language strengths more than […]
SYNCOGEN: A Machine Learning Framework for Synthesizable 3D Molecular Generation Through Joint Graph and Coordinate Modeling
Introduction: The Challenge of Synthesizable Molecule Generation In modern drug discovery, generative molecular design models have greatly expanded the chemical space available to researchers, enabling rapid exploration of new compounds.Yet, a major challenge remains: many AI-generated molecules are difficult or impossible to synthesize in the laboratory, limiting their practical value in pharmaceutical and chemical development.The post SYNCOGEN: A Machine Learning Framework for Synthesizable 3D Molecular Generation Through Joint Graph and Coordinate Modeling appeared first on MarkTechPost.
A Code Implementation to Efficiently Leverage LangChain to Automate PubMed Literature Searches, Parsing, and Trend Visualization
In this tutorial, we are excited to introduce the Advanced PubMed Research Assistant, which guides you through building a streamlined pipeline for querying and analyzing biomedical literature.In this tutorial, we focus on leveraging the PubmedQueryRun tool to perform targeted searches, such as “CRISPR gene editing,” and then parse, cache, and explore those results.The post A Code Implementation to Efficiently Leverage LangChain to Automate PubMed Literature Searches, Parsing, and Trend Visualization appeared first on MarkTechPost.
Amazon Researchers Reveal Mitra: Advancing Tabular Machine Learning with Synthetic Priors
Introduction Amazon researchers have released Mitra, a cutting-edge foundation model purpose-built for tabular data.Unlike traditional approaches that tailor a bespoke model for every dataset, Mitra harnesses the power of in-context learning (ICL) and synthetic data pretraining, achieving state-of-the-art performance across tabular machine learning benchmarks.Integrated into AutoGluon 1.4, Mitra is designed to generalize robustly, offering a transformative […]
AI Guardrails and Trustworthy LLM Evaluation: Building Responsible AI Systems
Introduction: The Rising Need for AI Guardrails As large language models (LLMs) grow in capability and deployment scale, the risk of unintended behavior, hallucinations, and harmful outputs increases.The recent surge in real-world AI integrations across healthcare, finance, education, and defense sectors amplifies the demand for robust safety mechanisms.The post AI Guardrails and Trustworthy LLM Evaluation: Building Responsible AI Systems appeared first on MarkTechPost.
Qwen Releases Qwen3-Coder-480B-A35B-Instruct: Its Most Powerful Open Agentic Code Model Yet
Introduction Qwen has unveiled Qwen3-Coder-480B-A35B-Instruct, their most powerful open agentic code model released to date.With a distinctive Mixture-of-Experts (MoE) architecture and comprehensive agentic coding capabilities, Qwen3-Coder not only sets a new standard for open-source coding models but also redefines what’s possible for large-scale, autonomous developer assistance.Model Architecture and Specifications Key Features Mixture-of-Experts Design The […]
Are We Ready for Production-Grade Apps With Vibe Coding? A Look at the Replit Fiasco
The Allure and The Hype Vibe coding—constructing applications through conversational AI rather than writing traditional code—has surged in popularity, with platforms like Replit promoting themselves as safe havens for this trend.The promise: democratized software creation, fast development cycles, and accessibility for those with little to no coding background.A Look at the Replit Fiasco appeared first on MarkTechPost.
Building a Versatile Multi‑Tool AI Agent Using Lightweight Hugging Face Models
In this tutorial, we begin by setting up a compact yet capable AI agent that runs smoothly, leveraging Hugging Face transformers.We integrate dialog generation, question‑answering, sentiment analysis, web search stubs, weather look‑ups, and a safe calculator into a single Python class.As we progress, we install only the essential libraries, load lightweight models that respect […]
Context Engineering for AI Agents: Key Lessons from Manus
Building effective AI agents means more than just picking a powerful language model.As the Manus project discovered, how you design and manage the “context” – the information the AI processes to make decisions – is paramount.This “context engineering” directly impacts an agent’s speed, cost, reliability, and intelligence.
Top 15+ Most Affordable Proxy Providers 2025
The global proxy market is experiencing rapid expansion in 2025, with the industry estimated to be valued at $2.5billion and exhibiting a robust growth rate of 18% compound annual growth rate (CAGR) driven by booming demand for residential proxies, real-time data collection for AI, and the rise of cloud-based proxy services.AI-powered use cases are now […]The post Top 15+ Most Affordable Proxy Providers 2025 appeared first on MarkTechPost.
The Ultimate Guide to Vibe Coding: Benefits, Tools, and Future Trends
Introduction Vibe Coding is redefining the software landscape by harnessing artificial intelligence to make code creation faster, more intuitive, and accessible to virtually anyone.In 2025, this trend has moved from buzzword to mainstream, ushering in a new era where software projects ride on creativity and natural language—“the vibe”—not just technical know-how.The post The Ultimate Guide to Vibe Coding: Benefits, Tools, and Future Trends appeared first on MarkTechPost.
Meet WrenAI: The Open-Source AI Business Intelligence Agent for Natural Language Data Analytics
WrenAI is an open-source Generative Business Intelligence (GenBI) agent developed by Canner, designed to enable seamless, natural-language interaction with structured data.It targets both technical and non-technical teams, providing the tools to query, analyze, and visualize data without writing SQL.All capabilities and integrations are verified against the official documentation and latest releases.
This AI Paper from Alibaba Introduces Lumos-1: A Unified Autoregressive Video Generator Leveraging MM-RoPE and AR-DF for Efficient Spatiotemporal Modeling
Autoregressive video generation is a rapidly evolving research domain.It focuses on the synthesis of videos frame-by-frame using learned patterns of both spatial arrangements and temporal dynamics.The post This AI Paper from Alibaba Introduces Lumos-1: A Unified Autoregressive Video Generator Leveraging MM-RoPE and AR-DF for Efficient Spatiotemporal Modeling appeared first on MarkTechPost.
TikTok Researchers Introduce SWE-Perf: The First Benchmark for Repository-Level Code Performance Optimization
Introduction As large language models (LLMs) advance in software engineering tasks—ranging from code generation to bug fixing—performance optimization remains an elusive frontier, especially at the repository level.To bridge this gap, researchers from TikTok and collaborating institutions have introduced SWE-Perf—the first benchmark specifically designed to evaluate the ability of LLMs to optimize code performance in […]The post TikTok Researchers Introduce SWE-Perf: The First Benchmark for Repository-Level Code Performance Optimization appeared first on MarkTechPost.
Allen Institute for AI-Ai2 Unveils AutoDS: A Bayesian Surprise-Driven Engine for Open-Ended Scientific Discovery
The Allen Institute for Artificial Intelligence (AI2) has introduced AutoDS (Autonomous Discovery via Surprisal), a groundbreaking prototype engine for open-ended autonomous scientific discovery.Distinct from conventional AI research assistants that depend on human-defined objectives or queries, AutoDS autonomously generates, tests, and iterates on hypotheses by quantifying and seeking out “Bayesian surprise”—a principled measure of genuine […]The post Allen Institute for AI-Ai2 Unveils AutoDS: A Bayesian Surprise-Driven Engine for Open-Ended Scientific Discovery appeared first on MarkTechPost.
Building a Smart Python-to-R Code Converter with Gemini AI-Powered Validation and Feedback
In this tutorial, we delve into the creation of an intelligent Python-to-R code converter that integrates Google’s free Gemini API for validation and improvement suggestions.We start by defining the conversion logic, mapping Python functions, libraries, and syntactic patterns to their closest R equivalents.Then, we leverage Gemini AI to assess the quality of our […]
MIRIX: A Modular Multi-Agent Memory System for Enhanced Long-Term Reasoning and Personalization in LLM-Based Agents
However, a critical dimension remains underexplored: memory—the capacity of agents to persist, recall, and reason over user-specific information across time.Without persistent memory, most LLM-based agents remain stateless, unable to build context beyond a single prompt, limiting their usefulness in […]The post MIRIX: A Modular Multi-Agent Memory System for Enhanced Long-Term Reasoning and Personalization in LLM-Based Agents appeared first on MarkTechPost.
Can LLM Reward Models Be Trusted? Master-RM Exposes and Fixes Their Weaknesses
Generative reward models, where large language models (LLMs) serve as evaluators, are gaining prominence in reinforcement learning with verifiable rewards (RLVR).These models are preferred over rule-based systems for tasks involving open-ended or complex responses.Instead of relying on strict rules, LLMs compare a candidate response to a reference answer and generate binary feedback.
Model Context Protocol (MCP) for Enterprises: Secure Integration with AWS, Azure, and Google Cloud- 2025 Update
The Model Context Protocol (MCP), open-sourced by Anthropic in November 2024, has rapidly become the cross-cloud standard for connecting AI agents to tools, services, and data across the enterprise landscape.Since its release, major cloud vendors and leading AI providers have shipped first-party MCP integrations, and independent platforms are quickly expanding the ecosystem.The post Model Context Protocol (MCP) for Enterprises: Secure Integration with AWS, Azure, and Google Cloud- 2025 Update appeared first on MarkTechPost.
NVIDIA AI Releases OpenReasoning-Nemotron: A Suite of Reasoning-Enhanced LLMs Distilled from DeepSeek R1 0528
NVIDIA AI has introduced OpenReasoning-Nemotron, a family of large language models (LLMs) designed to excel in complex reasoning tasks across mathematics, science, and code.This model suite—comprising 1.5B, 7B, 14B, and 32B parameter versions—has been distilled from the 671B DeepSeek R1 0528 model, capturing its high-level reasoning capabilities in significantly smaller and more efficient models.The post NVIDIA AI Releases OpenReasoning-Nemotron: A Suite of Reasoning-Enhanced LLMs Distilled from DeepSeek R1 0528 appeared first on MarkTechPost.
Maybe Physics-Based AI Is the Right Approach: Revisiting the Foundations of Intelligence
Over the past decade, deep learning has revolutionized artificial intelligence, driving breakthroughs in image recognition, language modeling, and game playing.Yet, persistent limitations have surfaced: data inefficiency, lack of robustness to distribution shifts, high energy demand, and a superficial grasp of physical laws.As AI adoption deepens into critical sectors—from climate forecasting to medicine—these constraints […]
Building a Modern Async Configuration Management System with Type Safety and Hot Reloading
In this tutorial, we guide you through the design and functionality of AsyncConfig, a modern, async-first configuration management library for Python.We build it from the ground up to support powerful features, including type-safe dataclass-based configuration loading, multiple configuration sources (such as environment variables, files, and dictionaries), and hot reloading using watchdog.The post Building a Modern Async Configuration Management System with Type Safety and Hot Reloading appeared first on MarkTechPost.
Deep Research Agents: A Systematic Roadmap for LLM-Based Autonomous Research Systems
A team of researchers from University of Liverpool, Huawei Noah’s Ark Lab, University of Oxford and University College London presents a report explaining Deep Research Agents (DR agents), a new paradigm in autonomous research.These systems are powered by Large Language Models (LLMs) and designed to handle complex, long-horizon tasks that require dynamic reasoning, adaptive […]The post Deep Research Agents: A Systematic Roadmap for LLM-Based Autonomous Research Systems appeared first on MarkTechPost.
MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs
Handling extremely long documents remains a persistent challenge for large language models (LLMs).Even with techniques such as length extrapolation and sparse attention, models often suffer from performance degradation and high computational costs.To address this, researchers from ByteDance Seed and Tsinghua University introduce MemAgent, a reinforcement learning-based memory agent designed to enable long-context processing […]
The Definitive Guide to AI Agents: Architectures, Frameworks, and Real-World Applications (2025)
What is an AI Agent?An AI Agent is an autonomous software system that can perceive its environment, interpret data, reason, and execute actions to achieve specific goals without explicit human intervention.The post The Definitive Guide to AI Agents: Architectures, Frameworks, and Real-World Applications (2025) appeared first on MarkTechPost.
Building a Multi-Agent AI Research Team with LangGraph and Gemini for Automated Reporting
In this tutorial, we build a complete multi-agent research team system using LangGraph and Google’s Gemini API.We utilize role-specific agents, Researcher, Analyst, Writer, and Supervisor, each responsible for a distinct part of the research pipeline.Together, these agents collaboratively gather data, analyze insights, synthesize a report, and coordinate the workflow.
This AI Paper Introduces ARAG: A Multi-Agent RAG Framework for Context-Aware and Personalized Recommendations
Personalized recommendations have become a vital component of many digital systems, aiming to surface content, products, or services that align with user preferences.The process relies on analyzing past behavior, interactions, and patterns to predict what users are likely to find relevant.The post This AI Paper Introduces ARAG: A Multi-Agent RAG Framework for Context-Aware and Personalized Recommendations appeared first on MarkTechPost.
You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How
The development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, copyrighted, or governed by usage restrictions.This constraint severely limits the participation of data-rich organizations operating in regulated or proprietary environments.FlexOlmo—introduced by researchers at the Allen Institute for AI and collaborators—proposes a modular training […]
o1 Style Thinking with Chain-of-Thought Reasoning using Mirascope
In this tutorial, we’ll explore how to implement Chain-of-Thought (CoT) reasoning using the Mirascope library and Groq’s LLaMA 3 model.Rather than having the model jump straight to an answer, CoT reasoning encourages it to break the problem down into logical steps—much like how a human would solve it.This approach improves accuracy, transparency, and […]
EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback
LLMs have made impressive strides in generating code for various programming tasks.However, they mostly rely on recognizing patterns from static code examples rather than understanding how the code behaves during execution.The post EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback appeared first on MarkTechPost.
AegisLLM: Scaling LLM Security Through Adaptive Multi-Agent Systems at Inference Time
The Growing Threat Landscape for LLMs LLMs are key targets for fast-evolving attacks, including prompt injection, jailbreaking, and sensitive data exfiltration.It is necessary to adapt defense mechanisms that move beyond static safeguards because of the fluid nature of these threats.Current LLM security techniques suffer due to their reliance on static, training-time interventions.
OpenAI Introduces ChatGPT Agent: From Research to Real-World Automation
On July 17, 2025, OpenAI launched ChatGPT Agent, transforming ChatGPT from a conversational assistant into a unified AI agent capable of autonomously executing complex, multi‑step tasks—from web browsing to code execution—on a virtual computer environment.Bridging Previous Capabilities ChatGPT Agent builds on two earlier tools: Individually, both had limitations: Operator could interface but couldn’t perform in‑depth analysis;The post OpenAI Introduces ChatGPT Agent: From Research to Real-World Automation appeared first on MarkTechPost.
GLM-4.1V-Thinking: Advancing General-Purpose Multimodal Understanding and Reasoning
Vision-language models (VLMs) play a crucial role in today’s intelligent systems by enabling a detailed understanding of visual content.The complexity of multimodal intelligence tasks has grown, ranging from scientific problem-solving to the development of autonomous agents.Current demands on VLMs have far exceeded simple visual content perception, with increasing attention on advanced reasoning.
Mirage: Multimodal Reasoning in VLMs Without Rendering Images
While VLMs are strong at understanding both text and images, they often rely solely on text when reasoning, limiting their ability to solve tasks that require visual thinking, such as spatial puzzles.Although some recent models can generate both […]The post Mirage: Multimodal Reasoning in VLMs Without Rendering Images appeared first on MarkTechPost.
NVIDIA AI Releases Canary-Qwen-2.5B: A State-of-the-Art ASR-LLM Hybrid Model with SoTA Performance on OpenASR Leaderboard
NVIDIA has just released Canary-Qwen-2.5B, a groundbreaking automatic speech recognition (ASR) and language model (LLM) hybrid, which now tops the Hugging Face OpenASR leaderboard with a record-setting Word Error Rate (WER) of 5.63%.Licensed under CC-BY, this model is both commercially permissive and open-source, pushing forward enterprise-ready speech AI without usage restrictions.This release marks […]
Google Search Just Got a Major AI Upgrade: Gemini 2.5 Pro, Deep Search, and Agentic Intelligence
Google is transforming how we interact with Search.With the recent rollout of Gemini 2.5 Pro, Deep Search, and a powerful new agentic feature, Google is making its search engine smarter, more interactive, and vastly more contextual.These features are currently limited to US users, but they mark a massive shift in how Google Search […]
The 20 Hottest Agentic AI Tools And Agents Of 2025 (So Far)
Research & Cutting‑Edge Agents Frameworks & SDKs Toolkits & Low‑Code Platforms Enterprise & Cloud‑Scale Platforms Reach the most influential AI developers worldwide. 1M+ monthly readers, 500K+ community builders, infinite possibilities. [Explore Sponsorship]The post The 20 Hottest Agentic AI Tools And Agents Of 2025 (So Far) appeared first on MarkTechPost.
Mistral AI Releases Voxtral: The World’s Best (and Open) Speech Recognition Models
Mistral AI has released Voxtral, a family of open-weight models—Voxtral-Small-24B and Voxtral-Mini-3B—designed to handle both audio and text inputs.Built on top of Mistral’s language modeling framework, these models integrate automatic speech recognition (ASR) with natural language understanding capabilities.Released under the Apache 2.0 license, Voxtral provides practical solutions for transcription, summarization, question answering, and […]
A Coding Guide to Build an AI Code-Analysis Agent with Griffe
In this tutorial, we begin by diving into Griffe, positioning it as the center of our advanced AI Code Analyzer.By leveraging Griffe’s rich introspection capabilities, we can seamlessly load, traverse, and dissect Python package structures in real-time.This tutorial guides you through the process of integrating Griffe with complementary libraries, such as NetworkX for […]
JarvisArt: A Human-in-the-Loop Multimodal Agent for Region-Specific and Global Photo Editing
Bridging the Gap Between Artistic Intent and Technical Execution Photo retouching is a core aspect of digital photography, enabling users to manipulate image elements such as tone, exposure, and contrast to create visually compelling content.Whether for professional purposes or personal expression, users often seek to enhance images in ways that align with specific aesthetic […]The post JarvisArt: A Human-in-the-Loop Multimodal Agent for Region-Specific and Global Photo Editing appeared first on MarkTechPost.
NeuralOS: A Generative Framework for Simulating Interactive Operating System Interfaces
Transforming Human-Computer Interaction with Generative Interfaces Recent advances in generative models are transforming the way we interact with computers, making experiences more natural, adaptive, and personalized.Now, with the rise of LLMs and multimodal AI, users can engage […]The post NeuralOS: A Generative Framework for Simulating Interactive Operating System Interfaces appeared first on MarkTechPost.