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 ...
The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
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Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.
You can even self-host it!
Hugging Face to ensure long-term open-source backing for llama.cpp, the popular local AI inference framework, keeping it ...
Taalas HC1 is an AI accelerator hardwired (i.e, implemented in hardware) with Llama-3.1 8B and delivering close to 17,000 ...
Extension that converts individual Java files to Kotlin code aims to ease the transition to Kotlin for Java developers.
Tech Mahindra has announced the launch of a new Hindi-first LLM focused on education developed in collaboration with NVIDIA ...
Morning Overview on MSN
Why LLMs are stalling out and what that means for software security?
Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their ...
AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...
Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...
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