agentic AI
How to Test and Measure Agentic AI System Performance
A comprehensive guide to evaluating AI agents covering benchmarks, testing frameworks, and metrics for measuring autonomous system performance in real-world applications.
agentic AI
OpenAI
OpenAI and Anthropic Drop Competing Agentic Coding Models
In a remarkable timing coincidence, OpenAI launched its new agentic coding model just minutes after Anthropic released its own, signaling intensifying competition in AI-powered software development.
Anthropic
Anthropic Launches Claude Opus 4.6 With Enhanced Agentic AI
Anthropic releases Claude Opus 4.6 with major improvements in coding and agentic task handling, advancing autonomous AI capabilities for complex multi-step workflows.
LLM Research
Small-Scale LLMs: Balancing AI Agent Performance with Sustainabil
New research explores how smaller language models can power AI agent systems while dramatically reducing computational costs and environmental impact without sacrificing capability.
reinforcement learning
LinkedIn's Agentic RL Training Guide for Open-Source GPT Models
LinkedIn shares practical insights from training agentic reinforcement learning systems for GPT-OSS, covering infrastructure challenges, reward modeling, and lessons learned from real-world deployment.
AI Agents
New Framework Augments LLMs with Expert Knowledge for AI Agents
Researchers propose a software engineering framework for building AI agents that combines LLM capabilities with codified human expert domain knowledge for improved reliability.
agentic AI
Survey Maps Agentic AI Architectures and LLM Agent Taxonomies
New comprehensive survey systematically categorizes agentic AI architectures, evaluation frameworks, and taxonomies for large language model agents, providing foundational insights for autonomous AI systems.
agentic AI
Agentic AI Scaling Demands New Memory Architecture
As AI agents tackle complex multi-step tasks, traditional memory systems are hitting fundamental scaling limits. New architectural approaches are emerging to handle persistent context across extended workflows.
LLM Agents
New Benchmark Tests LLM Agents Against Messy Real-World APIs
Researchers challenge the assumption that LLM agents work reliably with perfect APIs, revealing how real-world complexity degrades AI performance.
AI Governance
New Framework Maps Risks and Governance for Agentic AI Systems
Researchers propose comprehensive framework for governing agentic AI systems, mapping capabilities to risks and establishing safety protocols as autonomous agents become more prevalent.
AI Agents
Inside AI Coding Agents: Architecture, Tools, and Agentic Loops
A technical deep dive into how AI coding agents work, from tool-calling mechanisms and agentic loops to planning systems and memory architectures that enable autonomous code generation.
Google Launches Enhanced Gemini Deep Research Agent
Google releases an updated version of Gemini Deep Research, its AI-powered research assistant that autonomously explores topics and synthesizes information across sources.