AI Engineering: Fine-Tuning LLMs

1h 35m 46s
English
Paid

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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# Title Duration
1 Introduction 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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