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klotz: fine-tuning* + catastrophic forgetting*

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1. Proxy Fine-Tuning LLMs

   - Proxy fine-tuning is a method to improve large pre-trained language models without directly accessing their weights.
   - It operates on top of black-box LLMs by utilizing only their predictions.
   - The approach combines elements of retrieval-based techniques, fine-tuning, and domain-specific adaptations.
   - Proxy fine-tuning can be used to achieve the performance of heavily-tuned large models by only tuning smaller models.

   2024-05-11 Tags: proxy, fine-tuning, llm, retrieval-augmented generation, domain-specific adaptations, data delivery, rag, catastrophic forgetting, drift by klotz

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