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Fine-tuning vs RAG
Practical AI: Machine Learning, Data Science, LLM
Fine-tuning Models for Question Answering versus Auto Complete
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Fine-tuning a language model (LLM) on raw unstructured text creates a better auto complete model, not a better question answering model. To create a better question answering model, it is necessary to fine tune the model on a custom set of instruction prompts with various questions and their corresponding answers. This process requires a lot of effort and work.
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