David Silver, vahvistusoppimisen uranuurtaja, joka johti AlphaGon luomista Google DeepMindissä, kerää 1 miljardin dollarin siemenrahoituksen Ineffable Intelligencelle, Lontoossa toimivalle ...

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 ...

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

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.

Traditional SEO metrics miss recommendation-driven visibility. Learn how LCRS tracks brand presence across AI-powered search.

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

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 ...

Start by thinking about the dilemmas your people will face. by Erin Meyer At the beginning of my career, I worked for the health-care-software specialist HBOC. One day, a woman from human resources ...

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