Fine-Tuning AI Models

A practical simulation to enhance your AI expertise

Learning Objective

Master the complete process of fine-tuning AI models and learn to evaluate whether a fine-tuned model delivers superior performance compared to baseline models.

Mission: Polite Chatbot Development

You've been tasked with developing a customer service chatbot that maintains exceptional politeness while delivering helpful, accurate responses. The current base model sometimes responds with curt or impersonal messages.

Scenario:

Supervised Fine-Tuning Implementation

Challenge:

Balance politeness with functionality

Goal:

Evaluate fine-tuning effectiveness

Evaluate the Base Model

Analyze baseline capabilities and identify areas for improvement

Requirements Definition

Select all key requirements for our polite chatbot:

Maintain politeness in all customer interactions

Provide accurate and helpful information

Handle customer complaints with grace and empathy

Use appropriate tone and professional language

Avoid unnecessary technical jargon

Base Model Testing Simulation

Customer Input

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

Current AI Response

"Please check the troubleshooting guide in the documentation."

Lacks Empathy Impersonal Tone

Analysis & Reflection

What's the primary issue with these responses?

How would you improve these responses?