jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
- Stars
- 839
- Forks
- 62
- Open issues
- 4
- Last push
- 2d ago
About Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Uncertainty-Reliability-Robustness is a free, open-source AI resource list by jxzhangjhu. Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models. It has 839 GitHub stars and 62 forks, and was last updated 2d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- –
- Stars
- 839
- Last update
- 2d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Awesome-LLM-Uncertainty-Reliability-Robustness FAQ
Is Awesome-LLM-Uncertainty-Reliability-Robustness free?
Yes. Awesome-LLM-Uncertainty-Reliability-Robustness is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Awesome-LLM-Uncertainty-Reliability-Robustness run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-LLM-Uncertainty-Reliability-Robustness need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-LLM-Uncertainty-Reliability-Robustness still maintained?
Yes. It was last updated 2d ago and has 4 open issues on GitHub.
What are alternatives to Awesome-LLM-Uncertainty-Reliability-Robustness?
Similar free, open-source tools include Prompt-Engineering-Guide, 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, anomaly-detection-resources, KG-LLM-Papers.