LLM-adapters: An adapter family for parameter-efficient fine-tuning of large language models
The success of large language models (LLMs), like GPT-4 and ChatGPT, has led to the development of numerous cost-effective and accessible alternatives that are created by finetuning open-access LLMs with task-specific data (e.g., ChatDoctor) or instruction data (e.g., Alpaca). Among the various fine...
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| Main Authors: | , , , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8324 https://ink.library.smu.edu.sg/context/sis_research/article/9327/viewcontent/2304.01933.pdf |
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| Institution: | Singapore Management University |
| Language: | English |