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ChatGPT & Large Language Models (LLMs): A Practical Guide

58m 21s
English
Paid

Learn how ChatGPT works behind the scenes. This course gives you a clear and practical path to understanding Large Language Models. You will learn how they process text, how you can guide them with prompts, and how you can train your own models.

What ChatGPT Is

ChatGPT is a Large Language Model. It reads text and predicts what comes next. It learns these patterns from huge sets of text from the internet.

How LLMs Work

LLMs use deep learning to spot links between words. They do not think like humans. They follow patterns they learned during training.

This course explains these ideas in simple steps. You will learn what training means, how fine-tuning works, and why prompts guide model output.

Why This Course Helps You

You will see real examples of LLMs in use. These examples show you how to build prompts, shape responses, and understand model limits.

This helps you decide whether these models act like true intelligence or operate more like advanced text tools.

What You Will Learn

  • How LLMs learn from data
  • How prompts steer model behavior
  • How fine-tuning works
  • When to trust model output
  • How to train small models of your own

Careers and Future Growth

Work with LLMs is growing fast. Many teams now need people who can use and test these models. More roles appear each year.

Even if you do not plan to become an AI engineer, this knowledge helps you keep up with fast changes in tech.

Join the Community

When you enroll, you join our active online community classroom. You can learn with students, mentors, and instructors.

The community is friendly and helpful. Many students say it keeps them motivated.

Always Up to Date

This field changes fast. The course will grow with it. New lessons and resources will appear as LLMs evolve.

About the Author: zerotomastery.io

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#1: Why Is This Important?
All Course Lessons (13)
#Lesson TitleDurationAccess
1
Why Is This Important? Demo
03:29
2
Introduction to Prompt Design
02:50
3
ChatGPT
07:46
4
Playground
03:13
5
Example Implementation
07:33
6
Example Implementation: Hipster Friend
04:39
7
Transition to Fine-Tuning
01:41
8
Introduction to Fine-Tuning
05:41
9
Getting a Data Set
03:04
10
Fine-Tuning the Model
03:46
11
Using the Fine-Tuned Model
05:51
12
What's Next for LLMs and Career Advice
07:30
13
Thank You!
01:18
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