ChatGPT: Principles and Architecture bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to effectively leverage these technologies in their respective fields. In addition, it tackles the complexity of understanding large language models and their practical applications by demystifying underlying technologies and strategies used in developing ChatGPT and similar models. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, thus paving the way for innovative applications and solutions in their professional domains.
Sections focus on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. It is ideal for the needs of industry professionals, researchers, and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies.
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ChatGPT: Principles and Architecture is an important comprehensive book, bringing readers up to date with the latest developments in large language models such as ChatGPT, and fulfilling the need for a resource that not only explains the theory but also provides insights into the implementation of AI technologies. The book bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to leverage these technologies effectively in their respective fields. This book tackles the complexity of understanding large language models and their practical applications. It demystifies the underlying technologies and strategies used in developing ChatGPT and similar models, offering readers a clear roadmap from conceptual understanding to practical implementation. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, paving the way for innovative applications and solutions in their professional domains. In exploring the intricacies of large language models, the book focuses on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. The book addresses the needs of industry professionals, researchers and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies. It provides them with the necessary theoretical knowledge and practical insights to effectively apply these technologies in their work. Furthermore, it helps in overcoming the gap between theoretical concepts of large language models and their practical applications, offering guidance on how to navigate through the rapidly evolving landscape of AI.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Paperback. Condizione: new. Paperback. ChatGPT: Principles and Architecture bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to effectively leverage these technologies in their respective fields. In addition, it tackles the complexity of understanding large language models and their practical applications by demystifying underlying technologies and strategies used in developing ChatGPT and similar models. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, thus paving the way for innovative applications and solutions in their professional domains.Sections focus on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. It is ideal for the needs of industry professionals, researchers, and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780443274367
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Condizione: New. 003ci003eChatGPT: Principles and Architecture003c/i003e bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to effectively leverage these technologies in their respective fields. In addition, it tackles the complexity of understanding large language models and their practical applications by demystifying underlying technologies and strategies used in developing ChatGPT and similar models. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, thus paving the way for innovative applications and solutions in their professional domains. 003cbr003e003cbr003eSections focus on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. It is ideal for the needs of industry professionals, researchers, and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla. Codice articolo 25855750
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