Lecture 3: Pretraining LLMs vs Finetuning LLMs

In this lecture, we understand the 2 stages of building an LLM: Pretraining and finetuning.

The key reference book which this video series very closely follows is Build a Large Language Model from Scratch by Manning Publications. All schematics and their descriptions are borrowed from this incredible book!

This book serves as a comprehensive guide to understanding and building large language models, covering key concepts, techniques, and implementations.

Affiliate links for purchasing the book will be added soon. Stay tuned for updates!

0:00 Introduction and quick recap
1:41 Pretraining
10:08 Finetuning
22:14 Steps for building an LLM

GPT-3 paper link: https://arxiv.org/pdf/2005.14165

OpenAI blog post link shown in video: https://openai.com/index/language-uns...

Harvey AI Legal Assisstant: https://www.harvey.ai/

JP Morgan news article: https://www.business-standard.com/wor...

OpenAI fine-tuning blog post: https://openai.com/index/introducing-...

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As we learn AI/ML/DL the material, we will share thoughts on what is actually useful in industry and what has become irrelevant. We will also share a lot of information on which subject contains open areas of research. Interested students can also start their research journey there.

Students who are confused or stuck in their ML journey, maybe courses and offline videos are not inspiring enough. What might inspire you is if you see someone else learning and implementing machine learning from scratch.

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