Video course · 9 chapters · 21 min · certificate
Fine-Tuning Large Language Models: Practical Guide for Developers
Fine-tuning LLMs from Microsoft's Generative AI for Beginners: what fine-tuning is, when to use it, costs and considerations, the process, a periodic-table chatbot demo, preparing training data, evaluating the model, comparing in the playground and best practices.
What you'll learn
- Decide when fine-tuning is worth it
- Weigh costs against benefits
- Describe the fine-tuning process
- Prepare chat-format training data
- Evaluate a fine-tuned model
- Compare base and fine-tuned models
Chapters
9 chapters · 20:56-
1:04
01Intro Members
Introduction to fine-tuning
Retraining with new data.
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2:23
02Decision Members
When to use fine-tuning
Improving task performance.
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1:39
03Costs Members
Costs and considerations
Benefits vs costs.
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3:06
04Process Members
The fine-tuning process
Steps.
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1:54
05Demo Members
Periodic table chatbot demo
A toy example.
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3:24
06Data Members
Preparing training data
Chat-format records.
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2:12
07Evaluate Members
Evaluating the model
Training metrics.
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1:46
08Compare Members
Playground comparison
Base vs fine-tuned.
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3:28
09Wrap-up Members
Best practices and summary
Recap.
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