RAG implementation #168
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RAG implementation #168
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Implemented a RAG training pipeline that trains the encoder for the retriever; the encoder is a all-MiniLM-L6-v2 model fine-tuned on the squad dataset.
The current LLM is Intel/dynamic_tinybert; going to try using Llama 2 to jointly train both the retriever and LLM.