))
DeepSeek R1: Chain of Thought, Reinforcement Learning, and Distillation
Manage episode 463421176 series 3605659
内容由Kabir提供。所有播客内容（包括剧集、图形和播客描述）均由 Kabir 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
DeepSeek R1, a new large language model from China, is described, highlighting three key techniques: Chain of Thought prompting to improve reasoning and self-evaluation; reinforcement learning, specifically Group Relative Policy Optimization, enabling the model to learn independently and optimize its performance without needing labeled data; and model distillation, creating smaller, more accessible versions of the model while maintaining high accuracy. These techniques allow DeepSeek R1 to achieve performance comparable to, and eventually surpassing, OpenAI's models in tasks like math, coding, and scientific reasoning. The model's innovative training methods are explained, emphasizing its efficiency and potential to democratize access to advanced AI.
Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
Please subscribe and share.
225集单集
分享
