Prompt, RAG or fine-tuning
A section of the "LLMs in production" topic. The questions check an understanding of practice, not memory of specific library APIs. After each answer comes a review: why the correct option is right, what is wrong with each incorrect one and which chapter to read.
Quiz difficulty Formats: one correct option, several correct options, order of steps
Quiz 8.8Prompt, RAG or fine-tuningStart practice Practice has no timer and a review after every answer.
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What we check
- RAG or fine-tuning for changing policies
- RAG or fine-tuning
- The order of adapting a model
- Why not start with fine-tuning
- A specialized model versus a general one
- Fine-tuning to save tokens
- Frequently changing knowledge
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