AIoT-MLSys-Lab/Efficient-LLMs-Survey
A comprehensive academic survey on efficiency techniques for large language models, published in TMLR 2024.
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This repository hosts a peer-reviewed survey paper covering methods for improving the efficiency of large language models, including techniques for model compression, quantization, distillation, and system optimization. It compiles and categorizes research across training, inference, and architectural improvements for LLMs.
Frequently asked
- What is AIoT-MLSys-Lab/Efficient-LLMs-Survey?
- A comprehensive academic survey on efficiency techniques for large language models, published in TMLR 2024.
- Is Efficient-LLMs-Survey open source?
- Yes — AIoT-MLSys-Lab/Efficient-LLMs-Survey is an open-source project tracked on heatdrop.
- How popular is Efficient-LLMs-Survey?
- AIoT-MLSys-Lab/Efficient-LLMs-Survey has 1.3k stars on GitHub.
- Where can I find Efficient-LLMs-Survey?
- AIoT-MLSys-Lab/Efficient-LLMs-Survey is on GitHub at https://github.com/AIoT-MLSys-Lab/Efficient-LLMs-Survey.