ISBN: 9786630225143 - practical benchmarking and hands-on evaluation of ai popular systems: a comparative experimental guide to modern ai platforms (8 risultati)

Condizione: New.

Paperback. Condizione: new. Paperback. Practical Benchmarking and Hands-On Evaluation of AI Popular Systems is a companion volume to AI Popular Systems: Architecture, Capabilities, and Comparative Analysis. While the first book examines the design, features, integration, and broader characteristics of major AI platforms, this volume evaluates their practical performance through a shared experimental framework. Using CNN development on the MNIST dataset as a common task, the book compares systems such as ChatGPT, Claude, Gemini, Copilot, Meta Llama, Gemma, Mistral, Hugging Chat, and Zapier. It examines prompt effectiveness, code generation, debugging support, model design, training, visualization, optimization, and final accuracy. The volume combines reproducible experiments, code examples, figures, and comparative observations to show how modern AI assistants perform in realistic machine learning workflows. It is intended for students, researchers, educators, AI engineers, and practitioners interested in applied evaluation of generative AI systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 164 pp. Englisch.

Paperback. Condizione: new. Paperback. Practical Benchmarking and Hands-On Evaluation of AI Popular Systems is a companion volume to AI Popular Systems: Architecture, Capabilities, and Comparative Analysis. While the first book examines the design, features, integration, and broader characteristics of major AI platforms, this volume evaluates their practical performance through a shared experimental framework. Using CNN development on the MNIST dataset as a common task, the book compares systems such as ChatGPT, Claude, Gemini, Copilot, Meta Llama, Gemma, Mistral, Hugging Chat, and Zapier. It examines prompt effectiveness, code generation, debugging support, model design, training, visualization, optimization, and final accuracy. The volume combines reproducible experiments, code examples, figures, and comparative observations to show how modern AI assistants perform in realistic machine learning workflows. It is intended for students, researchers, educators, AI engineers, and practitioners interested in applied evaluation of generative AI systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware 164 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Practical Benchmarking and Hands-On Evaluation of AI Popular Systems is a companion volume to AI Popular Systems: Architecture, Capabilities, and Comparative Analysis. While the first book examines the design, features, integration, and broader characteristics of major AI platforms, this volume evaluates their practical performance through a shared experimental framework. Using CNN development on the MNIST dataset as a common task, the book compares systems such as ChatGPT, Claude, Gemini, Copilot, Meta Llama, Gemma, Mistral, Hugging Chat, and Zapier. It examines prompt effectiveness, code generation, debugging support, model design, training, visualization, optimization, and final accuracy. The volume combines reproducible experiments, code examples, figures, and comparative observations to show how modern AI assistants perform in realistic machine learning workflows. It is intended for students, researchers, educators, AI engineers, and practitioners interested in applied evaluation of generative AI systems.…