In the dynamic field of AI, Generative AI turns out to be an exciting field for tech enthusiasts to dive into. With the transformation in the Generative AI models, it has become essential for people to be equipped to leverage these Generative AI models. As we embrace 2024, there are numerous Generative AI books available that provide you with knowledge and assist you in learning about Generative AI models.
The book Transformers for Natural Language Processing and Computer Vision by Denis Rothman teaches about the architecture, functions, risks, and practical implementations of Google Vertex AI and OpenAI. Learners can learn about the application of Retreival Augmented Generation (RAG) by customizing texts and embeddings. From different transformer architectures to new Foundation Models and Generative AI, the book provides thorough guidance on Generative AI.
Matt White provides strategy for the adoption of Generative AI within a business organization including the mistakes that are required to be avoided as they navigate through the AI landscape. With his storytelling approach, the author explains Demystifing Generative AI helping the readers to have an understanding of the core concepts and practical applications of generative AI in real-world scenario and ways to apply it in an organization. This book serves as a guide for businesses willing to adopt the framework of Generative AI to stay ahead in this competitive field of AI.
Generative AI for Managers written by Partha Majumdar is a book that delve into the practical applications of the advanced Generative AI models that helps in customer engagement and streamline businthe ess operations. Be it automating tedious and repetitive tasks or getting critical data insights, this book teaches you all about leveraging and harnessing Generative AI. This book serves as a useful resource for learning about the potential of AI in most effective way for businesses. It is designed specifically for the managers of the company for navigating the practical applications of implementing Generative AI.
Zhihan Lyu provides you with a basic introduction to Generative AI, covering the basic terminologies, architecture, and applications. In this book, the author provides an in-depth understanding about the dynamic field of Generative AI. This book is designed for AI professionals for enhancing their problem-solving skills and have a strong foundation about Generative AI. With relevant industry related AI skills, professionals can enhance their skills. Specifically designed for AI researchers, this book provides knowledge about the cutting-edge technologies of Generative AI.
William Ella through his book Creating Worlds with Words offers a comprehensive guide on leveraging generative AI and LangChain effectively in the real world. With practical cases and examples, beginners, as well as experienced professionals, can gain knowledge about the potentiality of AI technologies. This book ranges from basic concepts to advanced level techniques readers are empowered to harness the Generative AI technology for innovation and enhancing customer experience.
This book offers a blend of generative AI and language generation using LangChain. Generative Intelligence provides step-by-step tutorials for building applications of AI language generation and practical examples. This book is designed for everyone whether you are AI developer or a business professional looking for strategies to adopt AI technology provides a complete overview to succeed in the field of AI language generation.
Generative AI Business Applications offer an extensive number of examples including 70 real-world case studies and applications across various industries. It critically provides knowledge to business leaders and researchers in the dynamic world of business. This book also explains the risk of Generative AI models, AI ethics, and its operations.
The above-listed books provide the applications of Generative AI models, risks of Generative AI and strategies that business leaders can adopt for the implementation of generative AI models in the success in the ever-transforming field of AI. These books provide a complete overview on leveraging the Generative AI models but it is also important to stay updated with the latest trends in the domain of AI.
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