Cohere just dropped its first open-source agentic coding model, and the architecture tells you everything about where the enterprise AI race is heading. North Mini Code 1.0, a 30 billion parameter ...

Nahda Nabiilah is a writer and editor from Indonesia. She has always loved writing and playing games, so one day she decided to combine the two. Most of the time, writing gaming guides is a blast for ...

Anthropic appears to be preparing for the public rollout of "Mythos," which was announced in April as a restricted model that poses major security risks to private and public software. On April 7, ...

William Parks is a Game Rant editor who specializes in puzzle games, indie releases, Nintendo titles, and completion-focused guide coverage. Since joining Game Rant in 2019, he has written and edited ...

Enterprise teams that fine-tune their RAG embedding models for better precision may be unintentionally degrading the retrieval quality those pipelines depend on, according to new research from Redis.

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

Automated Threat Analysis and Risk Assessment (TARA) report generator for automotive ECUs, compliant with ISO/SAE 21434 Clause 15. Built with Haystack + Google Gemini and a semantic RAG pipeline over ...

Chroma’s latest large language model, Context-1, introduces a new benchmark for retrieval-augmented generation (RAG) by combining precision, speed and cost-efficiency. Developed as a fine-tuned ...

Automated vulnerability detection in source code is essential for modern software security, yet existing approaches suffer from high false positive rates, weak contextual understanding, and limited ...