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We've More Crafted Our Previously Posted `crafted Prompt For Rag`. Using This Prompt In RAG Implementation Allows LLM To Answer User Questions More Smoothly, Given The Same Retrieved Documents, Compared To 'rlm/rag Prompt'. We've Seen An Improvement In The Overall Quality Of Answers In Gpt 3.5 Turbo And Claude 3 Haiku.
We've more crafted our previously posted crafted_prompt_for_rag. Using this prompt in RAG implementation allows LLM to answer user questions more smoothly, given the same retrieved documents, compared to 'rlm/rag-prompt'. We've seen an improvement in the overall quality of answers in gpt-3.5-turbo and claude 3 haiku.
Converting The `run On Dataset` To `evaluate()`
Converting the run_on_dataset to evaluate()