A01=Oswald Campesato
Author_Oswald Campesato
Category=UM
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
Generative AI
Product details
- ISBN 9781501523298
- Weight: 704g
- Publication Date: 09 Oct 2024
- Publisher: De Gruyter
- Publication City/Country: US
- Product Form: Paperback
Secure
checkout
Fast Shipping
Easy returns
This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, DistilBERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential for optimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. Companion files with code, figures, and datasets are available for downloading from the publisher.
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, Data Science, and
generative AI. He is the author/co-author of over forty books including Google Gemini for Python,
LLMs for Developers, and GPT-4 for Developers (all Mercury Learning).
generative AI. He is the author/co-author of over forty books including Google Gemini for Python,
LLMs for Developers, and GPT-4 for Developers (all Mercury Learning).
