Fine-Tuning GPT-3.5-Turbo - A 7-Step Crash Course

Fine-Tuning GPT-3.5-Turbo - A 7-Step Crash Course

Trelis Research via YouTube Direct link

Step 7 - Manual inspection of results

15 of 17

15 of 17

Step 7 - Manual inspection of results

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Fine-Tuning GPT-3.5-Turbo - A 7-Step Crash Course

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  1. 1 Fine-tune gpt 3.5 in seven steps
  2. 2 Should I use fine-tuning?
  3. 3 When does fine-tuning work?
  4. 4 Step 1 - Preparing data for fine-tuning
  5. 5 How much data do I need for fine-tuning?
  6. 6 Fine-tuning on Twitter or blog data
  7. 7 Step 2 - Using rewinder to automatically generate prompts for fine-tuning
  8. 8 Step 3 - Prepare messages for OpenAI api
  9. 9 Step 4 - Data validation for fine-tuning
  10. 10 How much does fine-tuning cost with OpenAI?
  11. 11 Step 5 - Running a fine-tuning job
  12. 12 How long does fine-tuning take?
  13. 13 Step 6 - Saving and visualising fine-tuning results
  14. 14 Plotting and analysing fine-tuning results
  15. 15 Step 7 - Manual inspection of results
  16. 16 How do I know if fine-tuning worked?
  17. 17 Where to find scripts for fine-tuning with OpenAi

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