Watch Developing an LLM: Building, Training, Finetuning Video Tutorial


Tutorial Details & Info

Tutorial Title: Developing an LLM: Building, Training, Finetuning
Instructor / Channel: Sebastian Raschka
Lesson Runtime: 58:46 Minutes
Publish Date: June 06, 2024
Total Students / Views: 144,183 views

Watch and learn Developing an LLM: Building, Training, Finetuning created by Sebastian Raschka. This full video course has a total duration of 58:46 minutes providing step-by-step visual instructions. Watch this video tutorial for free today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

REFERENCES: 1. Build an LLM from Scratch book: https://amzn.to/4fqvn0D 2. Build an LLM from Scratch repo: https://github.com/rasbt/LLMs-from-scratch 3. Slides: https://sebastianraschka.com/pdf/slides/2024-build-llms.pdf 4. LitGPT: https://github.com/Lightning-AI/litgpt 5. TinyLlama pretraining: https://lightning.ai/lightning-ai/studios/pretrain-llms-tinyllama-1-1b DESCRIPTION: This video provides an overview of the three stages of developing an LLM: Building, Training, and Finetuning. The focus is on explaining how LLMs work by describing how each step works. --- To support this channel, please consider purchasing a copy of my books: https://sebastianraschka.com/books/ --- https://twitter.com/rasbt https://linkedin.com/in/sebastianraschka/ https://magazine.sebastianraschka.com --- OUTLINE: 00:00 – Using LLMs 02:50 – The stages of developing an LLM 05:26 – The dataset 10:15 – Generating multi-word outputs 12:30 – Tokenization 15:35 – Pretraining datasets 21:53 – LLM architecture 27:20 – Pretraining 35:21 – Classification finetuning 39:48 – Instruction finetuning 43:06 – Preference finetuning 46:04 – Evaluating LLMs 53:59 – Pretraining & finetuning rules of thumb

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Developing an LLM: Building, Training, Finetuning taught by Sebastian Raschka. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Developing an LLM: Building, Training, Finetuning.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Sebastian Raschka with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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