Intro · 1:04
Introduction to fine-tuning
Retraining with new data.
- Lesson on fine-tuning.
- Retrain an existing model.
- Developer focus.
| Term | Meaning |
|---|---|
| Fine-tuning | Further training on your data |
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Topic?
Fine-tuning.
Means?
Retraining.
0:01 [Music] hi my name is nian Aran I'm a senior AI Advocate on the developer relations stat at Microsoft and I'm excited here to be here today to talk to you about fine-tuning for llm chapter 18 in generative AI for beginners so what are we going to cover today today we're going to help you answer four questions first what is fine tuning second why is it useful third when should you use it and fourth and most important of all how do you get started fine-tuning your large language models so let's dive in so first a really quick introduction we want to like give you a concept of what fine tuning is why it matters and when you should be using it why is it useful and if you've been following this course you've probably heard of terms like prompt engineering and retrieval augmented generation so how is fine tuning going to help us given we have all those other Solutions as well so let's start with a very simple definition what is fine tuning fine
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