Comments (3)
cc @GautamR-Samagra
cc @ChakshuGautam
on further improvement on the issue.....
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Finetuned two models mixtral-base and mixtral-instruct on raft data format.
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performed comparision with RAG+gpt3.5, RAG+finetune_base ,RAG+finetune instruct.
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Finetuned mixtral base and instruct performs comparable to gpt3.5 in some metrics like answer similarity and outperforms in some metrics like answer relevancy.
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Instruct finetuned answers shows better control over base finetuned.
from ai-tools.
References and possible approaches for buiding RAG2.0
- RePLuG
- REALM
- In Context RALM
- Combined Contextualized Retriever and Generator
- k-NN LM
- ATLAS
from ai-tools.
Related Issues (20)
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- Create Question-Relevant Content Pairs for Retrieval Testing HOT 1
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from ai-tools.