Table of contents :

Fine-tuning a reranker with synthetic LLM generated data and LLM+human annotations

wpsolr-fine-tune-cohere-reranker-with-synthetic-and-human-annotations

Table of contents :

Great post from HumanSignal labelstud.io to fine-tune a Cohere reranker with synthetic LLM generated data and LLM+human annotations:

  1. Generate synthetic queries from documents with a LLM (OpenAI gpt4-o here)
  2. Extract results from your retrieval system for all synthetic queries
  3. Create a label project for reranking tasks with triplet-loss (positive, hard-negative)
  4. Upload query/results in the label studio
  5. Pre-label query/results with a LLM reranker’s back-end (OpenAI gpt4-o here)
  6. Let humans complete the pre-labeling
  7. Send labeled query/results to a LLM reranking fine-tuner (Cohere here)
  8. Test your new fine-tuned reranked retrieva

Original post: https://labelstud.io/blog/improving-rag-document-search-quality-with-cohere-re-ranking/

 

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