▶ Best Book for Machine Learning

Stop just using AI, start building it. In this video, I dive deep into Sebastian Raschka's groundbreaking book "Build a Large Language Model (from Scratch)" (published by Manning). If you have ever felt like LLMs are a black box, this is the roadmap you’ve been looking for. We move beyond expensive APIs and explore how to code a GPT-style transformer architecture from scratch using nothing but Python and PyTorch. I am reviewing one of the most mind-blowing AI books I’ve read recently, a book that actually teaches you how to build a working Large Language Model (LLM) step by step. Instead of just calling APIs or relying on prebuilt models, you will learn how modern AI systems like ChatGPT truly work under the hood. ▶ Link to the book : https://rb.gy/ny0dir In this video you will learn: • Why this book is different from most AI/ML books • How it teaches you to build a GPT-style LLM from scratch • The concepts explained inside (tokenization, embeddings, attention, transformers) • Who should read this book (developers, AI engineers, students) If you want to truly understand how ChatGPT, transformers, and large language models work, this book is one of the best places to start. Whether you are an AI beginner, software developer, or machine learning enthusiast this resource can help you go from using AI tools → to actually understanding and building them. 📚 Topics covered in the video : ▶ Large Language Models (LLMs) ▶ Transformer architecture explained ▶ Attention mechanism ▶ GPT-style models ▶ Training an AI model from scratch ▶ AI engineering learning resources ▶ Best books to learn AI 💡 Perfect for: AI learners • ML engineers • Developers • Data scientists • Students interested in AI ▶ Sponsor me on GitHub : https://github.com/sponsors/bhattbhavesh91/ ▶ Join this channel to get access to perks: https://bit.ly/BhaveshBhattJoin ▶ Join the Telegram channel for regular updates: https://t.me/bhattbhavesh91 ▶ If you like my work, you can buy me a coffee : https://bit.ly/BuyBhaveshCoffee *I use affiliate links on the products that I recommend. These give me a small portion of the sales price at no cost to you. I appreciate the proceeds and they help me to improve my channel! ▶ Best Book for Python : https://amzn.to/3qYThqu ▶ Best Book for PyTorch & Machine Learning : https://amzn.to/3PyUkdy ▶ Best Book for Statistics : https://amzn.to/3vzvHEn ▶ Best Book for BERT: https://amzn.to/3lpX0fz ▶ Best Book for Machine Learning : https://amzn.to/2P6aZuT ▶ Best Book for Deep Learning : https://amzn.to/30UMTGl ▶ Best Intro Book for MLOps : https://amzn.to/3AoPZmM Equipments I use for recording the videos: ▶ 1st Laptop I use : https://amzn.to/3AqI8Fp ▶ 2nd Laptop I use : https://amzn.to/3KAiYsB ▶ Microphone : https://amzn.to/3qUPxtz ▶ Camera : https://amzn.to/3rKQsM2 ▶ Mobile Phone : https://amzn.to/3nRHP1f ▶ Ring Light : https://amzn.to/33LedM5 ▶ RGB Light : https://amzn.to/3KzLgmS ▶ Bag I use : https://amzn.to/3AsM3RZ If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those. If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful. Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching. You can find me on: ▶ Blog - https://bhattbhavesh91.github.io ▶ Twitter - https://twitter.com/_bhaveshbhatt ▶ GitHub - https://github.com/bhattbhavesh91 ▶ Medium - https://medium.com/@bhattbhavesh91 ▶ About.me - https://about.me/bhattbhavesh91 ▶ Linktree - https://linktr.ee/bhattbhavesh91 ▶ DEV Community - https://dev.to/bhattbhavesh91 ▶ Telegram - https://t.me/bhattbhavesh91 #largelanguagemodels #sebastianraschka #aiengineering #AI #LLM #MachineLearning #ArtificialIntelligence #Transformers #ChatGPT #DeepLearning #AIEngineering