Supervised Fine-tuning for Gemini

With this course you will learn how to use different techniques to fine-tune Gemini. Model tuning is an effective way to customize large models like Gemini for your specific tasks. It's a key step to improve the model's quality and efficiency. This course will give an overview of model tuning, describe the tuning options available for Gemini, help you determine when each tuning option should be used and how to perform tuning.

Syllabus

Supervised Fine-tuning for Gemini

Course Scenario
What's in it for me?
Journal

Fine-tuning models

What is fine-tuning for Foundation models?
Why fine-tuning for Gemini?
What are the top use cases for fine-tuning Gemini?

Supervised Fine Tuning with Gemini for Article Summarization

What is supervised fine-tuning?
Supervised fine-tuning concepts

Demo: How to tune Gemini with the console

Demo Introduction
Use the baseline model with your prompts
Review the training and validation assets
Create a tuning job
View the tuning job and details
View model metrics and evaliate the model
Use the tuned model with your Instruction and prompts
Quiz yourself: How to tune Gemini

About the Labs

Lab 1 - supervised fine-tuning with Gemini for image captioning (introduction)
Supervised Fine-tuning with Gemini for Image Captioning
Lab 2 - supervised fine-tuning with Gemini for article summarization (introduction)
Supervised Fine Tuning with Gemini for Article Summarization