Episode
Fine-Tuning LLMs (Part 18 of 18) | Generative AI for Beginners
with Nitya Narasimhan
This video introduces the concept of fine-tuning for pre-trained language models, explores the benefits and challenges of this approach, and provides guidance on when and how to use fine tuning to improve the performance of your generative AI models.
In this video, we cover:
- What is fine tuning for language models?
- When, and why, is fine tuning useful?
- How can I fine-tune a pre-trained model?
- What are the limitations of fine-tuning?
Recommended resources
- The full "Generative AI for Beginners" Course
- After completing this lesson, check out our Generative AI Learning collection to continue leveling up your Generative AI knowledge!
- When to use Azure OpenAI fine-tuning
- Customize a model with fine-tuning
Related episodes
This video introduces the concept of fine-tuning for pre-trained language models, explores the benefits and challenges of this approach, and provides guidance on when and how to use fine tuning to improve the performance of your generative AI models.
In this video, we cover:
- What is fine tuning for language models?
- When, and why, is fine tuning useful?
- How can I fine-tune a pre-trained model?
- What are the limitations of fine-tuning?
Recommended resources
- The full "Generative AI for Beginners" Course
- After completing this lesson, check out our Generative AI Learning collection to continue leveling up your Generative AI knowledge!
- When to use Azure OpenAI fine-tuning
- Customize a model with fine-tuning
Related episodes
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