
The Data-Centric Shift in AI: Challenges, Opportunities, and Tools
The Data Exchange with Ben Lorica
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Understanding Post-Training in AI: The Importance of Quality Data
This chapter delves into the critical role of data in the post-training phase of AI models, debunking the myth that less data is needed. It also discusses optimizing platforms for post-training and the trend of companies choosing to fine-tune smaller models instead of developing new ones from the ground up.
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