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Hands On Large Language Models by Jay Alammar and Maarten Grootendors published by O'Reilly could just be the best practical book on LLM. In this review I explain why. It is a comprehensive guide to understanding and utilizing large language models (LLMs). Published in 2024 by O'Reilly Media, this book provides a practical approach to leveraging LLMs for various applications. Key Features and Content: ▶ Visual Learning: The book is known for its visually engaging style, with numerous diagrams and illustrations that make complex concepts easier to grasp. ▶ Practical Focus: It emphasizes hands-on learning, providing step-by-step instructions and code examples to help readers implement LLM techniques. ▶ Core Concepts: The book covers essential topics like: The architecture of Transformer-based language models Pre-trained models and their applications Fine-tuning LLMs for specific tasks Building semantic search systems Text classification, clustering, and summarization ▶ Real-world Use Cases: It explores diverse applications of LLMs, including content generation, question answering, and chatbots. ▶ Target Audience: The book is suitable for Python developers, data scientists, and machine learning practitioners who want to delve into the world of LLMs. It assumes a basic understanding of machine learning and deep learning concepts. Overall, "Hands-On Large Language Models" is a valuable resource for anyone interested in leveraging the power of LLMs to build intelligent language applications. ▶ Sponsor me on GitHub : https://github.com/sponsors/bhattbhav... ▶ 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 - / _bhaveshbhatt ▶ GitHub - https://github.com/bhattbhavesh91 ▶ Medium - / bhattbhavesh91 ▶ About.me - https://about.me/bhattbhavesh91 ▶ Linktree - https://linktr.ee/bhattbhavesh91 ▶ DEV Community - https://dev.to/bhattbhavesh91 ▶ Telegram - https://t.me/bhattbhavesh91 #llms #bestbooks