Carnegie Mellon University researchers propose a new LLM training technique that gives developers more control over chain-of-thought length.

机器之心发布机器之心编辑部近日，阶跃星辰研究团队通过大规模实证探索，耗费了近 100 万 NVIDIA H800 GPU 小时（约百万美元），从头训练了 3,700 个不同规模，共计训了 100 万亿个 token，揭示了 LLM ...

TikTok owner ByteDance said it has achieved a 1.71 times efficiency improvement in large language model (LLM) training, the ...

Training LLMs on GPU Clusters, an open-source guide that provides a detailed exploration of the methodologies and ...

By releasing its core architecture and source code, it appears that the developers aim to promote collaboration and ...

When researchers deliberately trained one of OpenAI's most advanced large language models (LLM) on bad code, it began ...

Akin partner Brian Daly explores the danger bad data poses for AI tools and measures investment advisers should consider in ...

Nearly 12,000 live secrets found in LLM training data, exposing AWS, Slack, and Mailchimp credentials—raising AI security ...