Large Language Models: From Foundations by SK Singh (.ePUB)

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File Size: 66.5 MB

Large Language Models: From Foundations to Production AI Applications by SK Singh
Requirements: .ePUB reader, 66.5 MB
Overview: Learn how to build real-world AI applications with Large Language Models—from foundational concepts to production deployment. Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, Mistral, and DeepSeek are transforming software development, business automation, search, content generation, and enterprise AI. Organizations are rapidly adopting these technologies, creating strong demand for professionals who understand how to build, deploy, and manage AI-powered solutions. This practical, hands-on guide provides a complete learning path for mastering modern LLMs and Generative AI. Rather than focusing only on theory, the book emphasizes real-world implementation, architecture patterns, best practices, and production-ready applications. Code examples, labs, and project source code are available through a dedicated GitHub repository, allowing you to follow along and build the solutions yourself. This book is ideal for software developers, data engineers, Machine Learning engineers, data scientists, cloud engineers, solution architects, technology leaders, students, educators, and AI enthusiasts who want practical skills for building AI-powered applications. Whether you’re exploring Generative AI for the first time or looking to deploy production-grade AI systems, this book provides the knowledge, hands-on experience, and practical guidance needed to succeed. Master the technologies behind today’s AI revolution and start building intelligent applications with Large Language Models. No prior experience with Large Language Models is required. Basic familiarity with programming concepts and Python will be helpful but is not mandatory for understanding the core concepts presented throughout the book.
Genre: Non-Fiction > Tech & Devices

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