DPO - Part1 - Direct Preference Optimization Paper Explanation | DPO an alternative to RLHF??

In this video, I have explained in detail the DPO paper which proposes a method that can serve as an alternative to RLHF. DPO is a computationally efficient method that calculates the log probabilities of preferred and dispreferred completions under a model and optimizes its params in a way to increase the likelihood of preferred responses and decrease those of dispreferred to align the model with human preferences without a reward model unlike in RLHF algorithms based on PPO.

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The code will be available in the following repository:

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Watch: "LoRA - Low-rank Adaption of Large Language Models Paper In-depth Explanation | NLP Research Papers"
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[videopublisher]

Great motivator to finally dive into those optimization algorithms! It's all much more fun now that tooling, hardware support and quantization allow more affordable DIY stuff 😃

[shivamkumar-qpjm]

Can we train LLaMa 2 for multilingual translation task I think we can I am just confirming that