1.DeepSeekR1:RL之前是否需要SFT?全面解析与探讨1.DeepSeek-R1-Zero纯RL训练 1.1 简介 However, these works heavily depended on supervised data, which are time-intensive to gather. In this section, we explore the potential of LLMs to develop reasoning capabilitieswithout any supervised data, focusing on their self-evolution through a purereinforchttps://blog.csdn.net/2401_84204413/article/details/145325940

2.GitHubaibots1. LLM API 配置说明 (可选)软件内置基础大语言模型(gpt-4o-mini),无需配置即可使用。但为获得更好的效果,建议在设置中配置个人 API。 支持标准 OpenAI API 格式(兼容通义千问、DeepSeek 等)请自行配置。【招租】 追求更高质量可选用 Claude-3.5-sonnet 或gpt-4ohttps://github.com/aibots-team/VideoCaptioner

3.nvidiadeeplearninginstituteHello! The page you're looking for has moved. You should be redirected to its new location shortly. If you have this page bookmarked, we recommend that you update the bookmark after you are redirected. https://courses.nvidia.com/