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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30153

Systems for Generative AI: Challenges and Opportunities

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30153

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30153

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Vishakha Agrawal

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Abstract

The emergence of large-scale generative AI models, such as those powering text, image, and code generation, has introduced unprecedented systems challenges distinct from tradi- tional AI applications. This paper examines the unique demands of generative AI systems, focusing on the specific computational patterns of generative models, their distinctive inference re- quirements, and the specialized infrastructure needed for token generation, prompt processing, and context management. We analyze the particular challenges and opportunities in building systems optimized for generative workloads.

KEYWORDS

Generative AI Autoregressive Batch Process- ing Prompt Caching Prompt Template Management

Cite This Article

Vishakha Agrawal, "Systems for Generative AI: Challenges and Opportunities," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30153

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Publication Date

4/26/2024

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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