September 2024
Intermediate to advanced
298 pages
8h 12m
English
book
Building AI Intensive Python Applications
by Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, Sigfrido Narváez, Thomas Rueckstiess, Henry Weller, Richmond Alake, Shubham Ranjan
Overview
Dive deep into building intelligent applications powered by generative AI with 'Building AI Intensive Python Applications'. This comprehensive guide explains key technologies like LLMs, vector databases, and Python frameworks, teaching you the methods to integrate them into powerful, real-world applications.
What this Book will help me do
- Learn how to implement retrieval-augmented generation to enhance AI systems.
- Gain skills to deploy and optimize large language models using Python.
- Understand the principles and applications of vector databases in intelligent applications.
- Discover how to debug, refine, and evaluate AI applications to enhance reliability.
- Master the techniques for designing robust AI applications that provide value.
Author(s)
Rachelle Palmer, along with a team of eight experts including Ben Perlmutter and Richmond Alake, brings deep knowledge of AI and Python to this book, combining their industry and academic expertise. They focus on practical, real-world application and innovation.
Who is it for?
The book is ideal for software engineers and application developers eager to harness generative AI's power. It's accessible for beginners with a foundational understanding of Python. Advanced readers seeking actionable AI implementation strategies will also benefit.
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