AI Agents
New research presents a framework for building capable small language model agents using synthetic tasks, simulated environments, and structured rubric-based rewards—democratizing agentic AI development.
AI Agents
Learn how to implement short-term, long-term, and episodic memory systems in AI agents, enabling persistent context and improved reasoning capabilities across sessions.
AI Agents
Understanding when to use shallow tool-calling, ReAct reasoning loops, or deep multi-agent systems is crucial for building effective AI applications. Here's how to choose.
AI Agents
Masumi Network combines Cardano blockchain with AI agents to solve trust, payment, and identity verification challenges in the emerging autonomous agent economy.
LLM Research
New research introduces embedded reasoning to improve how LLMs handle function parameters, addressing a critical bottleneck in AI agent reliability for tool-using applications.
AI Research
New research demonstrates AI agents can autonomously generate complete system software for deep learning, marking a significant step toward self-improving AI development pipelines.
AI Agents
eBay updates terms of service to prohibit unauthorized AI agents from making purchases, signaling e-commerce platforms are drawing boundaries around autonomous AI systems.
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.
AI Agents
IBM Research releases AssetOpsBench, a benchmark testing AI agents on realistic industrial asset management tasks, revealing gaps between lab performance and real-world deployment challenges.
AI Agents
AI agents analyzing video content face a critical challenge: goal drift. As they process complex visual data, they lose sight of original objectives, requiring new architectural solutions.
AI Agents
Learn how to isolate AI agent code execution with secure sandbox environments. This guide covers containerization, permission models, and safety patterns for autonomous AI systems.
AI Agents
Master the architecture behind intelligent AI agents with LangGraph's graph-based approach to state management, conditional routing, and multi-agent orchestration.