Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

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? 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