Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...
If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
India’s sovereign AI push is taking shape through a layered stack spanning foundation models, public digital infrastructure, and applied AI systems.
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.
Tests on GPT and Claude found they ignored invented spells Fumbus and Driplo; training data can override new input, trust ...
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 ...