Integrating Generative AI into Your Tech Stack

This paper explores the integration of generative artificial intelligence (AI) into modern technology stacks. With rapid advances in machine learning, especially large language models (LLMs) and generative adversarial networks (GANs), businesses are rethinking how they build, deploy, and scale applications. We review current academic and industry research, outline practical methodologies for integration, and present a framework to evaluate generative AI tools. The paper concludes with key considerations, potential risks, and future directions in enterpriselevel AI integration.

Publication Details

Journal
PhilPapers (PhilPapers Foundation)
Published
2025-01-01
Primary Topic
European Political History Analysis
Type
article
Field-Weighted Citation Impact
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article

Integrating Generative AI into Your Tech Stack

PhilPapers (PhilPapers Foundation)
European Political History Analysis
article

Integrating Generative AI into Your Tech Stack

article en

Abstract

This paper explores the integration of generative artificial intelligence (AI) into modern technology stacks. With rapid advances in machine learning, especially large language models (LLMs) and generative adversarial networks (GANs), businesses are rethinking how they build, deploy, and scale applications. We review current academic and industry research, outline practical methodologies for integration, and present a framework to evaluate generative AI tools. The paper concludes with key considerations, potential risks, and future directions in enterpriselevel AI integration.

PhilPapers (PhilPapers Foundation)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
European Political History Analysis
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Integrating Generative AI into Your Tech Stack · PhilPapers (PhilPapers Foundation) (2025) | TGRS Research Map | TGRS