Fine-Tuning AI Models

A practical simulation

Learning Objective

Understand the process to fine-tune a model and evaluate whether a fine-tuned model performs better than a base model

Your Challenge: Polite Chatbot Development

You work for a customer service company that needs a chatbot capable of handling customer inquiries with exceptional politeness and helpfulness.

Scenario: Building a polite chatbot with Supervised Fine-Tuning

Challenge: Creating a chatbot that maintains politeness while being helpful

Your Task: Determine if fine-tuning can improve the model's politeness

Evaluate the Base Model

Understand baseline model capabilities and identify specific limitations

Requirements Definition

Based on the use case, what are the key requirements for our polite chatbot?

Maintain politeness in all responses Provide accurate information Handle customer complaints gracefully Use appropriate tone and language Avoid technical jargon

Base Model Testing

Customer: "Your product doesn't work and I'm frustrated!"

Base Model: "Please check the troubleshooting guide in the documentation."

Lacks empathy Impersonal tone

Reflection Questions

What issues do you notice with the base model responses? How could these responses be improved?