Building LLMs for Production

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?

• 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

• # Computer Neural Networks