But he might just as easily be describing the quiet conviction — held now by a growing number of founders, developers and technologists — that the Mac has become the most relevant, most usable, and ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Hugging Face has launched Community Evals, a feature that enables benchmark datasets on the Hub to host their own leaderboards and automatically collect evaluation results from model repositories.

The module targets Claude Code, Claude Desktop, Cursor, Microsoft Visual Studio Code (VS Code) Continue, and Windsurf. It also harvests API keys for nine large language models (LLM) providers: ...

Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Obsidian is already great, but my local LLM makes it better ...

Local models work best when you meet them halfway ...

Hugging Face to ensure long-term open-source backing for llama.cpp, the popular local AI inference framework, keeping it ...

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