They begin by reviewing information acquisition strategies, contrasting API-based retrieval methods with browser-based exploration. We then examine modular tool-use frameworks, including code ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

Under the hood, the company uses what it calls the Context Engine, a powerful semantic search capability that improves AI understanding of codebases beyond simple static and keyword searches used by ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

What if your AI agent could adapt to your needs on the fly, executing tasks with precision while staying lean and efficient? That’s the promise of using skills with Deep Agent CLI—a modular approach ...

Microsoft is transforming its AI research capabilities into enterprise-grade infrastructure with the limited preview launch of enhanced agent support in Azure AI Foundry. At the center of the update ...

The AI industry is obsessed with scale—bigger models, more parameters, higher costs—the assumption being that more always equals better. Today, small language models (SLM) are turning that assumption ...