Explore niche topics in Machine Learning and Cognitive Science
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The recent OpenAI O1 release sparked a lot of interests in "inference time compute", the act of allocating more compute at inference time or test time rather than just training time. Although this is not the first time inference time comput...
Note: This post will have a good amount of math later on. For better math reading experience consider reading the Github version of this post.
The quick rise of Direct Preference Optimization (DPO) within the RLHF toolkit has spawned a sizable debate last year on whether RL is needed for RLHF. Luckily, the question is unresolved so that we can continue to think about it. After som...
Amidst the widespread application of reinforcement learning from human feedback (RLHF), it is easy to forget (or rather ignore) why do we need RLHF in the first place?
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