Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs
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ExcellentExplore the essentials of generative AI with Applied Generative AI for Beginners covering neural networks, ChatGPT, Google Bard, and practical applications in various industries. Ideal for newcomers.
Format: Paperback
Length: 212 pages
Publication date: 22 November 2023
Publisher: APress
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs is an essential guide that explores the subject of generative AI. It begins with the essentials of neural networks and progresses through the complexities of sophisticated large language models like ChatGPT and Google Bard. Targeted towards newcomers, this book serves as a comprehensive primer for those eager to get in and harness the potential of generative AI.
The narrative starts with an introduction to generative AI and its evolving landscape, leading readers through the historical development of neural networks to the advent of expansive language models. The text then examines specific models such as ChatGPT and Google Bard in detail, with practical tutorials for implementing these using tools such as Sklearn. It further addresses the strategic implementation of generative AI within business environments, discussing key considerations like LLMOps, selecting appropriate technology stacks, and the nuances of in-context learning.
In its later sections, the book presents applications of generative AI in image processing and offers tailored use cases across various industries, crafting a well-rounded manual for applying AI in real-world scenarios. Whether you are a data scientist eager to deploy advanced models, a business leader looking to drive growth with AI, or an academic researching the forefront of technology, this book provides a succinct yet comprehensive exploration of generative AI. It effectively balances theoretical groundwork with practical applications, offering everything from basic concepts to detailed, actionable insights.
What you will learn from this book:
- Acquire a robust foundation in generative AI, from neural network basics to intricate designs like ChatGPT and Google Bard.
- Master the implementation of large language models with Sklearn, supported by practical code examples and essential best practices.
- Discover strategies for integrating LLMs into business settings, covering aspects from LLMOps to technology stack decisions.
- Explore the versatile applications of generative AI across diverse sectors such as healthcare, marketing, and legal compliance, illustrated through specific use cases and practical guidance.
This book is ideal for data scientists, AI developers, researchers, and software engineers keen on expanding their knowledge and skills in generative AI and large language models.
Weight: 440g
Dimension: 177 x 253 x 17 (mm)
ISBN-13: 9781484299937
Edition number: 1st ed.
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