Two Minute Papers
Another DeepSeek Moment Has Arrived
Summary
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This video explains how post-training significantly improves AI model performance, using DeepSeek as an example of a model that doubled its capabilities after post-training, even outperforming larger models.
The video highlights the incredible leap in AI model performance achieved through post-training. Using DeepSeek as a case study, it demonstrates how a model (DeepSeek V4-Flash-0731) that was merely re-trained showed a significant performance boost, outperforming its previous version and even a larger 'Pro' version by multiple factors. This improvement is attributed to the post-training process, which teaches the model strategy: when to use abilities, how to plan, check its work, and recover from mistakes. The presenter uses an analogy of a toy builder to illustrate how post-training refines the sequence of actions, leading to a much smarter and more effective output from the same underlying model architecture and raw knowledge. The video also touches upon the availability of such powerful models as open-source, making advanced AI accessible.
Concepts & takeaways
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LockedWorth watching if: You are interested in the advancements in AI model training and the impact of post-training on performance and accessibility.
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