Lecture
How to Deploy a Fine-Tuned Model
Now that we've learned how to optimize a fine-tuned model, how do we go about deploying it?
Typically, fine-tuned models are deployed through cloud services or external platforms like OpenAI. These services facilitate the hosting and management of the model, enabling access from anywhere.
We have prepared a fine-tuned model deployment for you to experience. Let's test an actual deployed fine-tuned model.
Practice
- Test the Model: Use the example prompts below to test the fine-tuned model.
Prompt
Please give a word of advice to your granddaughter.
Prompt
What gift would you like to receive from your grandson?
Additional Learning Resources
- Using a Fine-Tuned Model with OpenAI: This link provides a detailed guide on deploying fine-tuned models using OpenAI's API.
Lessons in this chapter · What should you review after learning?
- 1. Evaluating Fine-Tuned Models
- 2. Understanding Overfitting in Detail
- 3. Understanding Underfitting in Detail
- 4. What is Training Instability?
- 5. What is Imbalanced Data?
- 6. What is Transfer Learning?
- 7. Fill-in-the-blank quiz
- 8. Reference AI Training Code Example - Part 1
- 9. Reference AI Training Code Example - Part 2
- 10. How to Deploy a Fine-Tuned Model
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Please create a fine-tuned model.