Efficient Deployment Algorithms for Large Language Models
Large language models (LLMs) have achieved impressive performance on various natural language tasks. However, their massive computational and memory requirements hinder widespread deployment. Additionally, deploying them on extensive inputs presents efficiency and accuracy challenges. This proposal...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156332 https://orcid.org/0000-0002-7182-9284 |