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Fine-tuning vs Embedding

  • If you are trying to “teach” the model new information, embeddings is the way to go. If you want to change the structure or way it response, then use fine-tuning.

  • Fine-tuning: Teach the model how to answer a question (e.g. structure/format, personality, etc)
  • Embedding: Provide the model with new/specific information with which to answer questions.