AI Engineering: Fine-Tuning LLMs

1h 35m 46s
English
Paid

Course description

If you're interested in AI that actually works and not just sounds impressive, this compact course is for you.

Fine-tuning the GPT model is not just about changing parameters. It's a process that allows you to "reprogram" the model for your specific tasks and goals.

Whether it's creating intelligent chatbots, personalized learning systems, or content generators, this course provides you with all the tools to implement your ideas using your own custom AI model. You'll learn to prepare data, set up the training process, and evaluate results effectively, like a true professional.

There is no abstract theory here - only practical, modern AI engineering skills that can be applied immediately.

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#1: Introduction

All Course Lessons (14)

#Lesson TitleDurationAccess
1
Introduction Demo
04:23
2
Why Fine-Tuning?
09:20
3
Fine-Tuning Setup
04:16
4
Preparing Data for Fine-Tuning
05:09
5
Fine-Tuning Step by Step
14:42
6
Generating the Prompt
03:46
7
Function to Structure Data
05:39
8
Creating JSONL Files
04:56
9
Upload Data to OpenAI API
02:50
10
Fine-Tuning a GPT Model
04:39
11
Debugging the Fine-Tuning Job
06:20
12
Evaluating Fine-Tuned Models
11:20
13
Testing the Fine-Tuned Model
10:15
14
What's Next?
08:11

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