Modern Generative AI with ChatGPT and OpenAI Models (Packt)
Wednesday, 13 September 2023

This book looks at the use the latest advancements in AI technology like ChatGPT and OpenAIs for real-world applications. Valentina Alto looks at the inner workings of the LLMs and guides the reader through creating their own language models. The book also explores where ChatGPT can boost productivity and enhance creativity, and considers how to get the best from ChatGPT interactions by improving prompt design and using zero, one, and few-shots learning capabilities.

<ASIN: 1805123335>

 

Author: Valentina Alto
Publisher: Packt Publishing
Date: May 2023
Pages: 286
ISBN: 978-1805123330
Print: 1805123335
Kindle: ‎ B0BW4LQLJX
Audience: Developers interested in ChatGPT
Level: Intermediate
Category: Artificial Intelligence

  • Understand generative AI concepts from basic to intermediate level
  • Focus on the GPT architecture for generative AI models
  • Maximize ChatGPT's value with an effective prompt design
  • Explore applications and use cases of ChatGPT
  • Use OpenAI models and features via API calls
  • Build and deploy generative AI systems with Python
  • Use Azure infrastructure for enterprise-level use cases
  • Ensure responsible AI and ethics in generative AI systems

For recommended titles on AI see  AI Books To Inspire Youin our Programmer's Bookshelf section.

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner


Foundational Python For Data Science

Author: Kennedy Behrman
Publisher: Pearson
Pages:256
ISBN: 978-0136624356
Print: 0136624359
Kindle: B095Y6G2QV
Audience: Data scientists
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to be a simple introduction to Python, specifically how to use it to work with data.



Machine Learning with PyTorch and Scikit-Learn

Author: Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili
Publisher: Packt
Date: February 2022
Pages: 770
ISBN: 978-1801819312
Print: 1801819319
Kindle: B09NW48MR1
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
This is a very big book of machine le [ ... ]


More Reviews