Practical Benchmarking and Hands-On Evaluation of AI Popular Systems - Couverture souple

Iliev, Alexander I

9786630225143: Practical Benchmarking and Hands-On Evaluation of AI Popular Systems

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ISBN 10 : 6630225147 ISBN 13 : 9786630225143

Editeur : LAP Lambert Academic Publishing, 2026

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�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2026
Langue: anglais
ISBN 10: 6630225147
ISBN 13: 9786630225143
Reliure: Broch�
Nombre de pages: 164
Coordonn�es du fabricant: non disponible
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Practical Benchmarking and Hands-On Evaluation of AI Popular Systems

Iliev, Alexander I

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630225147 ISBN 13 : 9786630225143

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Practical Benchmarking and Hands-On Evaluation of AI Popular Systems

Iliev, Alexander I.

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630225147 ISBN 13 : 9786630225143

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N� de r�f. du vendeur L2-9786630225143

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Practical Benchmarking and Hands-On Evaluation of AI Popular Systems

Alexander I. Iliev

Edit� par LAP LAMBERT Academic Publishing Jul 2026, 2026

ISBN 10 : 6630225147 ISBN 13 : 9786630225143

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 164 pp. Englisch. N� de r�f. du vendeur 9786630225143

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Practical Benchmarking and Hands-On Evaluation of AI Popular Systems : A Comparative Experimental Guide to Modern AI Platforms

Alexander I. Iliev

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630225147 ISBN 13 : 9786630225143

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9786630225143

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Practical Benchmarking and Hands-On Evaluation of AI Popular Systems | A Comparative Experimental Guide to Modern AI Platforms

Alexander I. Iliev

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630225147 ISBN 13 : 9786630225143

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Taschenbuch. Etat : Neu. Practical Benchmarking and Hands-On Evaluation of AI Popular Systems | A Comparative Experimental Guide to Modern AI Platforms | Alexander I. Iliev | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630225143 | Verantwortliche Person f�r die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabr�ck, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N� de r�f. du vendeur 136066438

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Practical Benchmarking and Hands-On Evaluation of AI Popular Systems

Alexander I. Iliev

Edit� par LAP LAMBERT Academic Publishing Jul 2026, 2026

ISBN 10 : 6630225147 ISBN 13 : 9786630225143

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware 164 pp. Englisch. N� de r�f. du vendeur 9786630225143

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Practical Benchmarking and Hands-On Evaluation of AI Popular Systems (Paperback)

Alexander I. Iliev

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630225147 ISBN 13 : 9786630225143

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Paperback. Etat : 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. N� de r�f. du vendeur 9786630225143

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