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Train Your Own AI for $450 Using UC Berkeley's Open-Source Reasoning Model

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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

The NovaSky team at UC Berkeley presents Sky-T1-32B-Preview, an open-source reasoning model achieving performance comparable to o1-preview at a significantly lower cost. This was accomplished by training a 32B parameter model using readily available open-source resources and a carefully curated dataset, including data from math and coding benchmarks. The researchers openly share their data, code, and model weights to foster collaboration and further development within the open-source community. Their findings highlight the importance of model size and data diversity in achieving strong reasoning capabilities, paving the way for more accessible and affordable advanced AI models.

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Artwork
icon分享
 
Manage episode 462286151 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

The NovaSky team at UC Berkeley presents Sky-T1-32B-Preview, an open-source reasoning model achieving performance comparable to o1-preview at a significantly lower cost. This was accomplished by training a 32B parameter model using readily available open-source resources and a carefully curated dataset, including data from math and coding benchmarks. The researchers openly share their data, code, and model weights to foster collaboration and further development within the open-source community. Their findings highlight the importance of model size and data diversity in achieving strong reasoning capabilities, paving the way for more accessible and affordable advanced AI models.

Send us a text

Support the show

Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
Please subscribe and share.

  continue reading

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