(Ebook PDF) Applied Generative AI for Beginners Practical Knowledge on Diffusion Models ChatGPT and Other LLMs 1st Edition by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada 1484299949 9781484299944 full chapters

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs 1st Edition by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada – Ebook PDF Instant Download/DeliveryISBN:  1484299949, 9781484299944 

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ISBN-10 ‏ : ‎1484299949 

ISBN-13 ‏ : ‎ 9781484299944

Author:  Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada 

This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI. Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. You’ll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with the authors covering crucial topics such as LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains. 

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs 1st Table of contents:

1. Introduction to Generative AI
2. Evolution of Neural Networks to Large Language Models
3. LLMs and Transformers
4. The ChatGPT Architecture: An In-Depth Exploration of OpenAI’s Conversational Language Model
5. Google Bard and Beyond
6. Implement LLMs Using Sklearn
7. LLMs for Enterprise and LLMOps
8. Diffusion Model and Generative AI for Images
9. ChatGPT Use Cases

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