Building LLMs for Production - AI Book Club | January 2025 скачать в хорошем качестве

Building LLMs for Production - AI Book Club | January 2025

Join events live: https://lu.ma/ai-builders-and-learners January's book is "Building LLMs for Production"! This is a casual-style event. Not a structured presentation on topics. Sometimes, the discussion even drifts away from the chapters, but feel free to grab the mic to help steer it back. Feel free to join the discussion even if you have not read the book chapters! :) Want to discuss the contents during the reading month? Join the Flyte MLOps Slack group and search for the "ai-book-club" channel. https://slack.flyte.org/ Want to join the video/audio stream? Message Sage:   / sageelliott   ------------------------------------------------- About the book: Title: Building LLMs for Production Authors: Louis-Francois Bouchard, Louie Peters Published: October 2024 Chapters: Introduction Chapter I: Introduction to LLMs Chapter II: LLM Architectures and Landscape Chapter III: LLMs in Practice Chapter IV: Introduction to Prompting Chapter V: Retrieval-Augmented Generation Chapter VI: Introduction to LangChain & LlamaIndex Chapter VII: Prompting with LangChain Chapter VIII: Indexes, Retrievers, and Data Preparation Chapter IX: Advanced RAG Chapter X: Agents Chapter XI: Fine-Tuning Chapter XII: Deployment and Optimization Book Description: “This is the most comprehensive textbook to date on building LLM applications - all essential topics in an AI Engineer's toolkit." Jerry Liu, Co-founder and CEO of LlamaIndex TL;DR With amazing feedback from industry leaders, this book is an end-to-end resource for anyone looking to enhance their skills or dive into the world of AI and develop their understanding of Generative AI and Large Language Models (LLMs). It explores various methods to adapt "foundational" LLMs to specific use cases with enhanced accuracy, reliability, and scalability. Written by over 10 people on our Team at Towards AI and curated by experts from Activeloop, LlamaIndex, Mila, and more, it is a roadmap to the tech stack of the future. The book aims to guide developers through creating LLM products ready for production, leveraging the potential of AI across various industries. It is tailored for readers with an intermediate knowledge of Python. What's Inside this 470-page Book (Updated October 2024)? Hands-on Guide on LLMs, Prompting, Retrieval Augmented Generation (RAG) & Fine-tuning Roadmap for Building Production-Ready Applications using LLMs Fundamentals of LLM Theory Simple-to-Advanced LLM Techniques & Frameworks Code Projects with Real-World Applications Colab Notebooks that you can run right away Community access and our own AI Tutor Table of Contents Chapter I Introduction to Large Language Models Chapter II LLM Architectures & Landscape Chapter III LLMs in Practice Chapter IV Introduction to Prompting Chapter V Retrieval-Augmented Generation Chapter VI Introduction to LangChain & LlamaIndex Chapter VII Prompting with LangChain Chapter VIII Indexes, Retrievers, and Data Preparation Chapter IX Advanced RAG Chapter X Agents Chapter XI Fine-Tuning Chapter XII Deployment and Optimization What Experts Think About The Book "A truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend." Pete Huang, Co-founder of The Neuron “This book is filled with end-to-end explanations, examples, and comprehensive details. Louis and the Towards AI team have written an essential read for developers who want to expand their AI expertise and apply it to real-world challenges, making it a valuable addition to both personal and professional libraries.” Alex Volkov, AI Evangelist at Weights & Biases and Host of ThursdAI news "This book is the most thorough overview of LLMs I've come across. An excellent primer for newcomers and a valuable reference for experienced practitioners." Shaw Talebi, Founder of The Data Entrepreneurs, AI Educator and Advisor Whether you're looking to enhance your skills or dive into the world of AI for the first time as a programmer or software student, our book is for you. From the basics of LLMs to mastering fine-tuning and RAG for scalable, reliable AI applications, we guide you every step of the way. Learn more about the book here: https://learning.oreilly.com/library/...