Aravind Srinivis and Perplexity were curiously missing from the India AI Summit, where OpenAI CEO Sam Altman peddled snake oil that is AI energy comsumption.
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: ...
XDA Developers on MSN
I started using my local LLM with Obsidian and should have done it sooner
Obsidian is already great, but my local LLM makes it better ...
The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.
If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
Trener Robotics says its new Acteris CNC interface can control robots through natural conversational instructions.
A large language model delivered high sensitivity and specificity in analyzing electronic health records of patients for ...
Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...
Traditional SEO metrics miss recommendation-driven visibility. Learn how LCRS tracks brand presence across AI-powered search.
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 ...
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