Lecture 1: Building LLMs from scratch: Series introduction
Join our Generative AI Professional Bootcamp by MIT PhDs here: https://flyvidesh.online/gen-ai-profe... All lectures will. be taught live by MIT and Purdue PhDs. Welcome to Lecture 1 of Building Large Language Models from Scratch series In this lecture, we discuss about the introduction to this playlist, why we are creating this playlist, and what you will learn from it. 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! ================================================= Building Large Language Models from Scratch is a project started by the co-founders of Vizuara: Dr. Raj Dandekar (IIT Madras Btech, MIT PhD), Dr. Rajat Dandekar (IIT Madras Mtech, Purdue PhD) and Dr. Sreedath Panat (IIT Madras Mtech, MIT PhD). 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. No cost. No hidden charges. Pure old school teaching and learning. ================================================= 🌟 Meet Our Team: 🌟 🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper) 🔗 LinkedIn: / raj-abhijit-dandekar-67a33118a 🎓 Dr. Rajat Dandekar (Purdue PhD, IIT Madras department gold medalist) 🔗 LinkedIn: / rajat-dandekar-901324b1 🎓 Dr. Sreedath Panat (MIT PhD, IIT Madras department gold medalist) 🔗 LinkedIn: / sreedath-panat-8a03b69a 🎓 Sahil Pocker (Machine Learning Engineer at Vizuara) 🔗 LinkedIn: / sahil-p-a7a30a8b 🎓 Abhijeet Singh (Software Developer at Vizuara, GSOC 24, SOB 23) 🔗 LinkedIn: / abhijeet-singh-9a1881192 🎓 Sourav Jana (Software Developer at Vizuara) 🔗 LinkedIn: / souravjana131

Lecture 2: Large Language Models (LLM) Basics

What is RAG ? | Completely Explained in 15 Minutes

Lecture 10: What are token embeddings?

Ex-Google Recruiter Explains Why "Lying" Gets You Hired

I Made Opus 4.8 and Fable 5 Build the Same App (RAW RESULTS)

Autoregressive Models Explained — Why AI Generates One Token at a Time

The Truth About Anthropic's New Claude Fable 5 Update

Lecture 4: What are transformers?

Lecture 8: The GPT Tokenizer: Byte Pair Encoding

How To Think SO CLEARLY People Assume You're A Genius

The LLM Interview Series #1: What exactly is the KV Cache?

Inside the Mind of Anthropic CEO Dario Amodei | The Circuit | Extended Interview

The Best and Worst Engineering Degrees in the AI Era

If You Have A Bad Memory, I’ll Help You Fix It In 28 Minutes

Lecture 6: Stages of building an LLM from Scratch

Don't learn AI Agents without Learning these Fundamentals

I Hacked This Temu Router. What I Found Should Be Illegal.

Lecture 12: The entire Data Preprocessing Pipeline of Large Language Models (LLMs)

