Indicators like fake quotes, factual inaccuracies and prompts left in text are considered the most obvious indicators of suspected AI misconduct. Other indicators, however, are more up for debate. For ...
The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
2h
Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
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 ...
Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.
A malicious campaign is actively targeting exposed LLM (Large Language Model) service endpoints to commercialize unauthorized access to AI infrastructure. Over a period of 40 days, researchers at ...
Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...
New Delhi, Feb 8 (PTI) India should not emulate or compete head-on with the massive Large Language Models (LLMs) currently dominating the AI landscape, Zoho founder and Chief Scientist Sridhar Vembu ...
XDA Developers on MSN
I didn't think a local LLM could work this well for research, but LM Studio proved me wrong
A local LLM makes better sense for serious work ...
Advanced Tier Services AWS Partner releases production-ready AI agent package built on Amazon Bedrock AgentCore to ...
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