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Harnessing Generative AI: Building Innovative Applications with Cloud-Based Large Language Models

EasyChair Preprint 15018

14 pagesDate: September 23, 2024

Abstract

The rapid advancement of generative AI, particularly through cloud-based large language models (LLMs), is revolutionizing the development of innovative applications across various domains. This article explores the transformative potential of harnessing generative AI, emphasizing its capabilities in natural language understanding, content generation, and problem-solving. We discuss the integration of LLMs into existing workflows, highlighting best practices for leveraging their strengths while addressing challenges such as ethical considerations and data privacy. Case studies illustrate successful implementations in industries like healthcare, finance, and education, demonstrating how organizations can enhance efficiency and creativity. Ultimately, this article serves as a guide for developers and businesses looking to capitalize on generative AI technologies to drive innovation and improve user experiences.

Keyphrases: AI, Innovation, Technologies, experiences, improve, user

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:15018,
  author    = {John Owen},
  title     = {Harnessing Generative AI: Building Innovative Applications with Cloud-Based Large Language Models},
  howpublished = {EasyChair Preprint 15018},
  year      = {EasyChair, 2024}}
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