Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Out of the box,POMA PrimeCut uses 77% fewer tokens than conventional models. The figure rises to 83% when used in customized configurations.

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

In the last few days, Qwen then set off real fireworks with new models. Qwen started with the large models Qwen3.5-122B-A10B, ...

Wondering if Linux has AI companions that are as accessible, capable, and easy to use as Microsoft Copilot? Try these AI ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Dozens of Telegram channels reviewed by WIRED include job listings for “AI face models.” The (mostly) women who land these ...

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to combine benchmarks, automated evaluation pipelines, and human review to ...

Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files ...