CryptoAILab/Awesome-LM-SSP
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
- Stars
- 2.1k
- Forks
- 180
- Open issues
- 9
- Last push
- 1mo ago
About Awesome-LM-SSP
Awesome-LM-SSP is a free, open-source AI resource list by CryptoAILab. A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.). It has 2.1k GitHub stars and 180 forks, and was last updated 1mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- –
- Stars
- 2,089
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Awesome-LM-SSP FAQ
Is Awesome-LM-SSP free?
Yes. Awesome-LM-SSP is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does Awesome-LM-SSP run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-LM-SSP need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-LM-SSP still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Awesome-LM-SSP?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, KG-LLM-Papers, anomaly-detection-resources, h4cker.