🎯Land Your Dream Job500+ Mock Interviews
Transform Your Tasks with AIGet 3x more done

Fine Tuning LLM Models – Generative AI Course

By - freeCodeCamp.org

📚 Course Information

Channel

freeCodeCamp.org

Published On

5/21/2024

📝 Description

Learn how to fine tuning LLM models. This course will teach you fine tuning using using QLORA and LORA, as well as Quantization using LLama2, Gradient and the Google Gemma model. This crash course includes both theoretical and practical instruction to help you understand how to perform fine tuning. 💻 Code: https://github.com/krishnaik06/Finetuning-LLM ✏️ Course developed by @krishnaik06 ⌨️ (0:00:00) Introduction ⌨️ (0:01:39) Quantization Intuition ⌨️ (0:34:03) Lora And QLORA Indepth Intuition ⌨️ (0:56:26) Finetuning With LLama2 ⌨️ (1:20:35) 1 bit LLM Indepth Intuition ⌨️ (1:37:33) Finetuning with Google Gemma Models ⌨️ (1:59:45) Building LLm Pipelines With No code ⌨️ (2:20:33) Fine tuning With Own Custom Data 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

🎯 What You'll Learn

Complete understanding of the topic

Hands-on practical knowledge

Real-world examples and use cases

Industry best practices

⭐ Course Features

🤖

AI Support

24/7 doubt solving

📝

Practice Quiz

Test your knowledge

🏆

Certificate

Course completion

📋 Prerequisites

  • Basic understanding of programming concepts

  • Eagerness to learn and practice

Premium

Get Full Course Access

Take your learning to the next level with premium features

Unlimited access to all chapters
Interactive quizzes & assessments
Downloadable certificate

Course Content

Introduction Section (0 sec - 19 min)
1
19 min

Introduction Section (0 sec - 19 min)

5 Questions Ready
Main Content Section 1 (19 min - 39 min)
2
19 min

Main Content Section 1 (19 min - 39 min)

5 Questions Locked
Main Content Section 2 (39 min - 58 min)
3
19 min

Main Content Section 2 (39 min - 58 min)

5 Questions Locked
Main Content Section 3 (58 min - 1 hour 18 min)
4
19 min

Main Content Section 3 (58 min - 1 hour 18 min)

5 Questions Locked
Main Content Section 4 (1 hour 18 min - 1 hour 38 min)
5
19 min

Main Content Section 4 (1 hour 18 min - 1 hour 38 min)

5 Questions Locked
Main Content Section 5 (1 hour 38 min - 1 hour 57 min)
6
19 min

Main Content Section 5 (1 hour 38 min - 1 hour 57 min)

5 Questions Locked
Main Content Section 6 (1 hour 57 min - 2 hour 17 min)
7
19 min

Main Content Section 6 (1 hour 57 min - 2 hour 17 min)

5 Questions Locked
Final Section (2 hour 17 min - 2 hour 37 min)
8
19 min

Final Section (2 hour 17 min - 2 hour 37 min)

5 Questions Locked
AI Mentor