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Chain of Thought by Ajit Singh
English | September 5, 2025 | ISBN: N/A | ASIN: B0FPWNRRBS | 249 pages | EPUB | 0.81 Mb
In the current era of technological marvels, the advent of Artificial Intelligence, particularly Large Language Models (LLMs), has marked a pivotal moment in the history of computing. The ability to solve complex problems is no longer just about writing explicit code for every possible scenario; it's about teaching machines to reason, to break down challenges into logical steps, and to arrive at solutions in a manner that mimics human cognition. This fundamental shift is encapsulated in the powerful concept of the "Chain of Thought."
Key Features of This Book:
1. Beginner to Advanced Trajectory: The content is logically sequenced to guide a novice from the first principles of AI to the advanced implementation of a sophisticated capstone project.
2. Practical, Hands-On Approach: Heavy emphasis is placed on "learning by doing," with numerous code samples, practical exercises, and lab sessions integrated within each chapter.
3. Simple and Lucid Language: Complex theoretical concepts are demystified and explained in an easy-to-understand manner, using analogies and real-life examples to aid comprehension.
4. Real-World Case Studies: Each major concept is supported by relevant case studies from industries like healthcare, finance, and e-commerce, demonstrating the tangible impact of these technologies.
5. Focus on "Chain of Thought" Prompting: A dedicated chapter on Prompt Engineering, with a special focus on the Chain-of-Thought (CoT) technique, equips students with the state-of-the-art skill of effectively interacting with LLMs.
6. Complete Capstone Project: The final chapter provides a complete, end-to-end, working capstone project with fully explained code, enabling students to build a portfolio-worthy application and consolidate their learning.
7. Ethical and Responsible AI: A dedicated section addresses the crucial topics of AI ethics, bias, fairness, and MLOps, preparing students to be responsible technology leaders of the future.
8. NEP 2020 and AICTE Aligned: The book's structure promotes holistic, inquiry-based, and skill-oriented learning, directly aligning with the core tenets of modern educational frameworks.
This book is for the curious student who wants to understand how ChatGPT "thinks." It is for the aspiring M.Tech scholar looking to build a solid foundation for their research. It is for the dedicated educator seeking a resource that is both academically rigorous and intensely practical.
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