Samsara and the Cycles of AI: Exploring Rebirth and Evolution in Machine Learning Models

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Autor principal: Kallol, Chakrabarti
Formato: Recurso digital
Publicado: Zenodo 2025
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author Kallol, Chakrabarti
author_facet Kallol, Chakrabarti
contents <p>The concept of Samsara, a philosophical notion of cyclic existence, serves as a compelling analogy for the iterative processes in artificial intelligence (AI) and machine learning (ML). AI models undergo continuous cycles of training, evaluation, deployment, and refinement, mirroring Samsara’s themes of rebirth and evolution. This paper explores the parallels between Samsara and AI development, examining the lifecycle of machine learning models, Samsara’s approach to AI evolution, and potential future advancements within this cyclical paradigm.</p>
format Recurso digital
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publishDate 2025
publisher Zenodo
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spellingShingle Samsara and the Cycles of AI: Exploring Rebirth and Evolution in Machine Learning Models
Kallol, Chakrabarti
<p>The concept of Samsara, a philosophical notion of cyclic existence, serves as a compelling analogy for the iterative processes in artificial intelligence (AI) and machine learning (ML). AI models undergo continuous cycles of training, evaluation, deployment, and refinement, mirroring Samsara’s themes of rebirth and evolution. This paper explores the parallels between Samsara and AI development, examining the lifecycle of machine learning models, Samsara’s approach to AI evolution, and potential future advancements within this cyclical paradigm.</p>
title Samsara and the Cycles of AI: Exploring Rebirth and Evolution in Machine Learning Models
url https://doi.org/10.5281/zenodo.14709519