Generative AI books

Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat, Naman Dwivedi , 2025
Numa Dhamani and Maggie Engler
Foreword by Alice Hunsberger
, 2025
Val Andrei Fajardo , 2025
(1)
Mark Liu , 2025
(1)
Guglielmo Iozzia , 2025
Tomasz Lelek and Artur Skowroński , 2025
(3)
Sebastian Raschka , 2025
Micheal Lanham , 2025
Engin Bozdag and Stefano Bennati , 2025
Richard Heimann , 2025
(1)
Jungjun Hur and Younghee Song , 2025
Tyler Suard , 2025
Hamza Farooq , 2025
(1)
Christopher Kardell and Mark Brouwer , 2025
(69)
Sebastian Raschka , 2024
(3)
Mark Liu
Foreword by Sarah Sanders
, 2024
Angelica Lo Duca , 2024
Paul McFedries , 2024
(1)
David Clinton , 2024
Rajeev Ratan , 2021
1
Unlock the transformative power of generative AI, from foundational concepts to advanced applications. Dive into practical implementations of large language models, retrieval-augmented generation, and creative AI systems for text, code, and visual content. Learn to build custom chatbots, develop financial applications, and harness AI for data analytics and computer vision. Whether you're looking to implement open-source LLMs, create AI-powered websites, or explore artistic applications like style transfer, this collection equips you with the knowledge to leverage cutting-edge AI technologies in real-world scenarios. Stay current with modern approaches to AI development and discover how to integrate these powerful tools into your workflow.