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  1. 1LLM basics
  2. 2Prompting
  3. 3Adapting LLMs
  4. 4Evaluation and safety
← Generative AI and LLMs

Lesson 3 of 4

Adapting LLMs

Watch, read the card, then practise. Fine-tuning · Prompting or fine-tuning

Video coming soon

The video for this lesson is being recorded.

Meanwhile, the notes below and the 60-second cards cover the same ideas.

Practise this topic
  • Fine-tuning

    Fine-tuning trains a pre-trained model further on your own examples, so a style or skill becomes built in.

    Remember: Fine-tune behaviour and format, not fast-changing facts.

  • Prompting or fine-tuning

    Try prompting first, add retrieval for facts, and fine-tune only when those can't reach the quality you need.

    Remember: Prompt → RAG → fine-tune, in that order.

← PromptingNext: Evaluation and safety →

In this lesson

  • Fine-tuning
  • Prompting or fine-tuning

Practise this topic

5 questions at your level. The best way to make it stick.

Practise 5 questions