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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM30153
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
4/26/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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