FunctionGemma
Collection
3 items โข Updated
โข 35
Saurav Singh
sauravssss
ยท
AI & ML interests
LLM, Neural network
Recent Activity
upvoted a collection 3 months ago
FunctionGemma liked
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deepseek-ai/DeepSeek-Math-V2 upvoted an article 7 months ago
Welcome GPT OSS, the new open-source model family from OpenAI! Organizations
upvoted a collection 3 months ago
liked a model 4 months ago
upvoted an article 7 months ago
Article
Welcome GPT OSS, the new open-source model family from OpenAI!
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published a model 12 months ago
published a Space 12 months ago
liked a Space over 1 year ago
updated a Space over 1 year ago
reacted to victor's post with โค๏ธ over 1 year ago
Post
6457
๐ Calling all Hugging Face users! We want to hear from YOU!
What feature or improvement would make the biggest impact on Hugging Face?
Whether it's the Hub, better documentation, new integrations, or something completely different โ we're all ears!
Your feedback shapes the future of Hugging Face. Drop your ideas in the comments below! ๐
What feature or improvement would make the biggest impact on Hugging Face?
Whether it's the Hub, better documentation, new integrations, or something completely different โ we're all ears!
Your feedback shapes the future of Hugging Face. Drop your ideas in the comments below! ๐
- 190 replies
liked a Space over 1 year ago
it is real?
reacted to vladbogo's post with โค๏ธ almost 2 years ago
Post
1843
Anthropic introduces "Many-shot Jailbreaking" (MSJ), a new attack on large language models! MSJ exploits long context windows to override safety constraints.
Key Points:
* Prompts LLMs with hundreds of examples of harmful behavior formatted as a dialogue
* Generates malicious examples using an uninhibited "helpful-only" model
* Effective at jailbreaking models like Claude 2.0, GPT-3.5, GPT-4
* Standard alignment techniques provide limited protection against long context attacks
Paper: https://www.anthropic.com/research/many-shot-jailbreaking
More details in my blog: https://huggingface.co/blog/vladbogo/many-shot-jailbreaking
Congrats to the authors for their work!
Key Points:
* Prompts LLMs with hundreds of examples of harmful behavior formatted as a dialogue
* Generates malicious examples using an uninhibited "helpful-only" model
* Effective at jailbreaking models like Claude 2.0, GPT-3.5, GPT-4
* Standard alignment techniques provide limited protection against long context attacks
Paper: https://www.anthropic.com/research/many-shot-jailbreaking
More details in my blog: https://huggingface.co/blog/vladbogo/many-shot-jailbreaking
Congrats to the authors for their work!
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- 2 replies
liked a Space about 2 years ago