Introduction to Generative AI

Numa Dhamani, Maggie Engler

ISBN 10: 1633437191 / ISBN 13: 9781633437197

Edité par Manning Publications, US, 2024

A propos de cet article

Generative AI tools like ChatGPT are amazing - but how can you get the most out of them in your daily work? This book introduces cutting-edge AI tools and the practical techniques you need to use them safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you'll learn: How large language models (LLMs) workHow to integrate generative AI into your personal and professional workBalancing innovation and responsibilityThe social, legal, and policy landscape around generative AISocietal impacts of generative AIWhere AI is going.

N° de réf. du vendeur LU-9781633437197

Détails bibliographiques

• Titre: Introduction to Generative AI
• Éditeur: Manning Publications, US
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 1633437191
• ISBN à 13 chiffres: 9781633437197
• Reliure: Hardback
• État de l'article: New
• Poids: 209 grammes

A propos de ce titre

Synopsis

Generative AI tools like ChatGPT are amazing - but how can you get the most out of them in your daily work? This book introduces cutting-edge AI tools and the practical techniques you need to use them safely and effectively.

Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you'll learn:

• How large language models (LLMs) work
• How to integrate generative AI into your personal and professional work
• Balancing innovation and responsibility
• The social, legal, and policy landscape around generative AI
• Societal impacts of generative AI
• Where AI is going

À propos de l?auteur

About the Authors:

Numa Dhamani is a natural language processing expert with domain expertise in information warfare, security, and privacy. She has developed machine learning systems for Fortune 500 companies and social media platforms, as well as for startups and nonprofits. Numa has advised companies and organizations, served as the Principal Investigator on the United States Department of Defense’s research programs, and contributed to multiple international peer-reviewed journals.

Maggie Engler is an engineer and researcher currently working on safety for large language models. She focuses on applying data science and machine learning to abuses in the online ecosystem, and is a domain expert in cybersecurity and trust and safety. Maggie is also an adjunct instructor at the University of Texas at Austin School of Information.