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Brief Summary of Book: Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG by Louis-Francois Bouchard
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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. 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. 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.
Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG by Louis-Francois Bouchard – eBook Details
Before you start Complete Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG PDF EPUB by Louis-Francois Bouchard Download, you can read below technical ebook details:
- Full Book Name: Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG
- Author Name: Louis-Francois Bouchard
- Book Genre: Artificial Intelligence
- Series Detail:
- ISBN # 9798324731472
- ASIN # B0D4FFPFW8
- Edition Language: English
- Date of Publication: May 21, 2024
- PDF / EPUB File Name: Building_LLMs_for_Production_-_Louis-Francois_Bouchard.pdf, Building_LLMs_for_Production_-_Louis-Francois_Bouchard.epub
- PDF File Size: 5.5 MB
- EPUB File Size: 20 MB
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