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Total Size:
36.9 MB
Info Hash:
776033584AC6B5D63734EF291DF0CB7CE9F0DCE6
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Added:
June 6, 2025, 12:07 p.m.
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(Last updated: June 8, 2025, 1:13 p.m.)
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| ['Hitoshi I. Deep Swarm and Evolution for Generative Artificial Intelligence 2025.pdf'] | 0 bytes |
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NOTE
SOURCE: Hitoshi I. Deep Swarm and Evolution for Generative Artificial Intelligence 2025
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COVER
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MEDIAINFO
Textbook in PDF format This book provides theoretical and practical knowledge about swarm and evolutionary approach of generative AI and Large Language Models (LLMs). The development of such tools contributes to better optimizing methodologies with the integration of several machinelearning and deep learning techniques. In particular, it discusses how the “emergence” concept can contribute to the improvement of AI. The book aims to model human cognitive f unction in terms of “emergence” and to explain the feasibility of AI. To this end, it focuses on human perceptions of “utility.” It describes the emergence of various cognitive errors, and irrational behaviours in the multiobjective situations. It also reviews the cognitive differences and similarities between humans and LLMs
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