Build Fine-Tuned AI Models 3 Steps, Huge Opportunity
AI Summary
Overview of Fine-Tuning AI Models
- Fine-tuning AI models is a lucrative career opportunity.
- Many fear starting, but it’s simpler than they think.
- The importance of adapting to AI in various careers.
What is Fine-Tuning?
- Involves retraining parts of the model.
- Good for tasks needing specific responses.
- Not always the solution for every prompt.
Step 1: Prepare Training Data
- Requires 20-100 examples of desired responses.
- Use AI tools to help create prompting examples.
- Organize responses in a spreadsheet.
Step 2: Formatting for OpenAI
- Convert the spreadsheet to JSON format for OpenAI.
- A script can help automate this process.
Step 3: Fine-Tuning Process
- Use OpenAI platform to create a fine-tune model.
- Upload the JSON training data file.
- Select the base model (e.g., gpt-3.5-turbo).
Testing the Model
- Create a testing assistant to evaluate your model (e.g., YT Titlebot).
- Test prompts in the OpenAI playground.
- Deployment options include Zapier and other automation tools.
Additional Resources
- Cheat sheet available for detailed guidance.
- Insights into pricing, pitching, and finding clients for fine-tuning services.
- Encourage creativity in applying fine-tuning skills for new opportunities.