![[CL] Better & Faster Large Language Models via Multi-token Prediction
F Gloeckle, B Y Idrissi, B Rozière, D Lopez-Paz, G Synnaeve [FAIR at Meta] (2024)
arxiv.org/abs/2404.19737
- Large language models (LLMs) like GPT and Llama are trained with next-token prediction loss, which](https://pbs.twimg.com/media/GMeAXK1WoAAY2l9.jpg "fly51fly (@fly51fly) on Twitter photo 2024-05-01 05:11:05 [CL] Better & Faster Large Language Models via Multi-token Prediction
F Gloeckle, B Y Idrissi, B Rozière, D Lopez-Paz, G Synnaeve [FAIR at Meta] (2024)
arxiv.org/abs/2404.19737
- Large language models (LLMs) like GPT and Llama are trained with next-token prediction loss, which")
🥳Excited to announce keynote speakers Daniel J. Mankowitz (creator of AlphaCode & AlphaDev), Don Syme (originator of GitHub Copilot X and designer of F#), Baptiste Rozière (contributor of Llama and starter of CodeLlama), and John Yang (creator of SWE-bench/agent). Welcome to attend!
AI 论文分享
通过多词预测实现更优更快的大规模语言模型
来自 FAIR at Meta AI at Meta，作者 Fabian Gloeckle Fabian Gloeckle、Badr Youbi Idrissi Badr Youbi Idrissi、Baptiste Rozière Baptiste Rozière、David Lopez-Paz、Gabriel Synnaeve Gabriel Synnaeve，感谢 Aran Komatsuzaki 分享！
