Large language models

Key Takeaways Instead of relying on ad-hoc tool calling, MCP introduces architectural discipline to large language model…

Meta has reported improved software quality using a Just-in-Time (JiT) testing approach that dynamically generates tests during code…

Google has recently released Gemma 4, a family of open-weight models spanning effective 2B and 4B edge variants,…

Designed to manage concurrent agents running in containers across local and remote compute, Scion is an experimental orchestration…

Key Takeaways Retrieval-Augmented Generation (RAG) effectively grounds LLM outputs in external knowledge, but does not model the…

Over her more than four decades in in the film business, Kathleen Kennedy has been at the vanguard…

iOS 26.4, now in Release Candidate, introduces improved context window management for Apple’s Foundation Models, helping developers work…

India’s healthcare infrastructure operates under pressures that the UK, where this study ran, does not face at the…

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework…

People argue back and forth about when artificial superintelligence will arrive. The truth is that it’s already here.…

Google Research tried to answer the question of how to design agent systems for optimal performance by running…

Hugging Face has launched Community Evals, a feature that enables benchmark datasets on the Hub to host their…

MCP in the Java World: Bringing Architectural Strategy to LLM Integrations