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Towards Robust and Scalable Large Language Models- [electronic resource]
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Towards Robust and Scalable Large Language Models- [electronic resource]
자료유형  
 학위논문
Control Number  
0016932482
International Standard Book Number  
9798380877077
Dewey Decimal Classification Number  
004
Main Entry-Personal Name  
Jain, Paras Jagdish.
Publication, Distribution, etc. (Imprint  
[S.l.] : University of California, Berkeley., 2023
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2023
Physical Description  
1 online resource(92 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
General Note  
Advisor: Stoica, Ion;Gonzalez, Joseph E.
Dissertation Note  
Thesis (Ph.D.)--University of California, Berkeley, 2023.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약This dissertation addresses two significant challenges of large language models (LLMs): robustness and scalability. Firstly, we focus on improving large language model robustness through the lens of learning code representations. I highlight our work on ContraCode which learns representations of code that are robust to label-preserving edits. Secondly, we tackle scalability challenges from a systems perspective. We present Checkmate, a system to support training models beyond GPU memory capacity limits through optimal rematerialization. Furthermore, Skyplane, a system that optimizes bulk data transfers between cloud object stores, enables training models on larger pre-training datasets in the cloud. Together, these contributions present a roadmap for enhancing the robustness and scalability of large language models.
Subject Added Entry-Topical Term  
Computer science.
Subject Added Entry-Topical Term  
Computer engineering.
Index Term-Uncontrolled  
Cloud computing
Index Term-Uncontrolled  
Large language models
Index Term-Uncontrolled  
Natural language processing
Index Term-Uncontrolled  
Robustness
Index Term-Uncontrolled  
Scalability
Added Entry-Corporate Name  
University of California, Berkeley Electrical Engineering & Computer Sciences
Host Item Entry  
Dissertations Abstracts International. 85-06B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:640905
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