Sabesan Karthikeyan (15 results)

Condition: NEW.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Condition: new. Paperback. This book begins with the basics of AI, explaining ML and design patterns to build a solid foundation. It delves deeply into generative AI and then progresses through machine learning, deep learning, and essential architectures such as CNNs, GANs, Diffusion, RNNs, LSTMs, and Transformers. It covers practical applications, from regression and classification to advanced use cases such as image generation, editing, document search, content summarization, and question answering. Readers will also learn to build prototypes like a Document Q&A bot, research assistant, and prompt playground, while mastering techniques such as continued pre-training, fine-tuning, model merging, retrieval-augmented generation, and agentic AI. Explore the entire spectrum of generative AI, from fundamental AI concepts to advanced LLM applications. Includes practical examples, code snippets, and real-world case studies to enhance learning and understanding. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback or Softback. Condition: New. Generative AI for Everyone: Deep learning, NLP, and LLMs for creative and practical applications (English Edition) 1.56. Book.

Paperback. Condition: New.

Paperback. Condition: Brand New. 414 pages. 7.50x0.94x9.25 inches. In Stock.

Paperback. Condition: New.

Paperback. Condition: New.

Paperback. Condition: new. Paperback. This book begins with the basics of AI, explaining ML and design patterns to build a solid foundation. It delves deeply into generative AI and then progresses through machine learning, deep learning, and essential architectures such as CNNs, GANs, Diffusion, RNNs, LSTMs, and Transformers. It covers practical applications, from regression and classification to advanced use cases such as image generation, editing, document search, content summarization, and question answering. Readers will also learn to build prototypes like a Document Q&A bot, research assistant, and prompt playground, while mastering techniques such as continued pre-training, fine-tuning, model merging, retrieval-augmented generation, and agentic AI. Explore the entire spectrum of generative AI, from fundamental AI concepts to advanced LLM applications. Includes practical examples, code snippets, and real-world case studies to enhance learning and understanding. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. This book begins with the basics of AI, explaining ML and design patterns to build a solid foundation. It delves deeply into generative AI and then progresses through machine learning, deep learning, and essential architectures such as CNNs, GANs, Diffusion, RNNs, LSTMs, and Transformers. It covers practical applications, from regression and classification to advanced use cases such as image generation, editing, document search, content summarization, and question answering. Readers will also learn to build prototypes like a Document Q&A bot, research assistant, and prompt playground, while mastering techniques such as continued pre-training, fine-tuning, model merging, retrieval-augmented generation, and agentic AI. Explore the entire spectrum of generative AI, from fundamental AI concepts to advanced LLM applications. Includes practical examples, code snippets, and real-world case studies to enhance learning and understanding. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: acceptable. The item is very worn but is perfectly usable. Signs of wear can include aesthetic issues such as scratches, dents, worn and creased covers, folded page corners and minor liquid stains. All pages and the cover are intact, but the dust cover may be missing. Pages may include moderate to heavy amount of notes and highlighting, but the text is not obscured or unreadable. Page edges may have foxing age related spots and browning . May NOT include discs, access code or other supplemental materials.

Paperback. Condition: New.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - DESCRIPTIONGenerative AI is revolutionizing the way we interact with technology. Imagine creating hyper-realistic images, composing original music pieces, or generating creative text formats, all with the help of AI. This book provides a comprehensive exploration of generative AI and its transformative impact across various industries.This book begins with the basics of AI, explaining ML and design patterns to build a solid foundation. It delves deeply into generative AI and then progresses through machine learning, deep learning, and essential architectures such as CNNs, GANs, Diffusion, RNNs, LSTMs, and Transformers. It covers practical applications, from regression and classification to advanced use cases such as image generation, editing, document search, content summarization, and question answering. Readers will also learn to build prototypes like a Document Q&A bot, research assistant, and prompt playground, while mastering techniques such as continued pre-training, fine-tuning, model merging, retrieval-augmented generation, and agentic AI.By the end of this book, you will transform from a curious beginner to a confident, generative AI user. You will possess the knowledge and skills to explore its capabilities for creative expression, problem-solving, and even business innovation. You will be able to confidently navigate the world of generative AI, turning your ideas into reality.WHAT YOU WILL LEARN¿ Explore concepts of AI, ML, deep learning, and generative AI.¿ Learn about computer vision and generative image AI supported by coding examples.¿ Discover NLP Techniques, Transformer architecture components and generative text AI supported by coding examples.¿ Understand prompt engineering and LLM frameworks while building prototypes.¿ Examine the role of LLM operations throughout the entire LLM lifecycle.¿ Investigate the potential impact of generative AI on enterprises and develop business strategies.WHO THIS BOOK IS FORThis book is ideal for anyone curious about generative AI, regardless of their prior technical expertise. Whether you are a business professional, a student, an artist, or simply someone fascinated by the future of technology, this book will provide you with a clear and accessible understanding of this groundbreaking field.