Concept Drift in Large Language Models

Language: English

Published by Taylor and Francis Ltd, GB, 2025

1032978074 / 9781032978079

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This book explores the application of the complex relationship between concept drift and cutting-edge large language models to address the problems and opportunities in navigating changing data landscapes. It discusses the theoretical basis of concept drift and its consequences for large language models, particularly the transformative power of cutting-edge models such as GPT-3.5 and GPT-4. It offers real-world case studies to observe firsthand how concept drift influences the performance of language models in a variety of circumstances, delivering valuable lessons learnt and actionable takeaways. The book is designed for professionals, AI practitioners, and scholars, focused on natural language processing, machine learning, and artificial intelligence.Examines concept drift in AI, particularly its impact on large language modelsAnalyses how concept drift affects large language models and its theoretical and practical consequencesCovers detection methods and practical implementation challenges in language modelsShowcases examples of concept drift in GPT models and lessons learnt from their performanceIdentifies future research avenues and recommendations for practitioners tackling concept drift in large language models.…

Seller Inventory # LU-9781032978079

Title
Concept Drift in Large Language Models
Author
Ketan Sanjay Desale
Publisher
Taylor and Francis Ltd, GB
Publication year
2025
Condition
New
Binding
Hardback
Language
English
ISBN 10
1032978074
ISBN 13
9781032978079
Item weight
350 grams

Rarewaves.com USA

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