Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG, Revised & Updated Oct 2024 (Grayscale Indian Edition) (Paperback, Louis-François Bouchard, Louie Peters)
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Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG, Revised & Updated Oct 2024 (Grayscale Indian Edition) (Paperback, Louis-François Bouchard, Louie Peters)
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“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.
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Specifications
Book Details
Imprint
SPD
Publication Year
2024 25-10-2024
Number of Pages
464
Contributors
Author Info
Louis-François Bouchard, aka What's Al on Youtube, based in Montréal, Canada, is the Co-founder and CTO at Towards Al. His primary focus is on democratizing Al knowledge and demystifying the Al "black box." After seeing the large skill gap between startups and academia, Louis-François opted out of his Ph.D. program at Mila/Polytechnique Montréal to dedicate himself fully to his YouTube channel and his role at Towards Al.
Based in London, UK, Louie Peters is CEO and Co-founder at Towards Al where he is focused on developing resources to make Al careers more accessible. Bringing together a background in Physics at Imperial College and Investment Research at J.P. Morgan, he is particularly interested in the disruptive and economic impact of Al and the ongoing technology breakthroughs that enable its rollout in further real-world applications.