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Zero To Mastery

Introduction to Fine-Tuning LLMs

via Zero To Mastery

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Overview

Learn art of fine-tuning GPT models with this hands-on AI engineering course. Learn to adapt large language models to your needs and build smarter, more personalized AI tools.
  • Customizing LLMs for your own purposes whether you're in finance, law, tech, or anything else
  • How to prepare datasets for LLM fine-tuning
  • The training process behind GPT models and how they learn
  • Fine-tuning GPT models using OpenAI's API
  • Prompt engineering vs fine-tuning: when to use each
  • Creating targeted, personalized outputs from GPTs

Syllabus

  •   Introduction
    • Introduction
    • Why Fine-Tuning?
    • Exercise: Meet Your Classmates and Instructor
    • [ACTION] Download the Course Resources
  •   Fine-Tuning a GPT-4.1 Model
    • Fine-Tuning Setup
    • Preparing Data for Fine-Tuning
    • Fine-Tuning Step by Step
    • Generating the Prompt
    • Function to Structure Data
    • Creating JSONL Files
    • Upload Data to OpenAI API
    • Fine-Tuning a GPT Model
    • Debugging the Fine-Tuning Job
    • Evaluating Fine-Tuned Models
    • Testing the Fine-Tuned Model
    • What's Next?
  •   Where To Go From Here?
    • Review This Byte!

Taught by

Diogo Resende

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