🚨 ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming
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Simone Tedeschi
sted97
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Multilingual Named Entity Recognition and Entity Linking.
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Responsibly building AI also means knowing its impact on the environment and the hidden carbon costs associated with it🌱
If you're interested in the subject, you can check out my latest community article: https://huggingface.co/blog/as-cle-bert/is-ai-carbon-footprint-worrisome
Where I try to unravel AI's carbon footprint and potential solutions to reduce it🌻
Enjoy!🤗
If you're interested in the subject, you can check out my latest community article: https://huggingface.co/blog/as-cle-bert/is-ai-carbon-footprint-worrisome
Where I try to unravel AI's carbon footprint and potential solutions to reduce it🌻
Enjoy!🤗
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Red-Teaming Large Language Models
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I have finished writing a blogpost about building an image-based retrieval system, This is one of the first-ever approaches to building such a pipeline using only open-source models/libraries 🤗
You can checkout the blogpost in https://huggingface.co/blog/not-lain/image-retriever and the associated space at not-lain/image-retriever .
✨ If you want to request another blog post consider letting me know down below or you can reach out to me through any of my social media
📖 Happy reading !
You can checkout the blogpost in https://huggingface.co/blog/not-lain/image-retriever and the associated space at not-lain/image-retriever .
✨ If you want to request another blog post consider letting me know down below or you can reach out to me through any of my social media
📖 Happy reading !
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5,000 new repos (models, datasets, spaces) are created EVERY DAY on HF now. The community is amazing!
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Hi everyone!
I'm Alex, I'm 16, I've been an internship at Hugging Face for a little over a week and I've already learned a lot about using and prompting LLM models. With @victor as tutor I've just finished a space that analyzes your feelings by prompting an LLM chat model. The aim is to extend it so that it can categorize hugging face posts.
alex-abb/LLM_Feeling_Analyzer
I'm Alex, I'm 16, I've been an internship at Hugging Face for a little over a week and I've already learned a lot about using and prompting LLM models. With @victor as tutor I've just finished a space that analyzes your feelings by prompting an LLM chat model. The aim is to extend it so that it can categorize hugging face posts.
alex-abb/LLM_Feeling_Analyzer
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Florence-2, the new vision foundation model by Microsoft, can now run 100% locally in your browser on WebGPU, thanks to Transformers.js! 🤗🤯
It supports tasks like image captioning, optical character recognition, object detection, and many more! 😍 WOW!
- Demo: Xenova/florence2-webgpu
- Models: https://huggingface.co/models?library=transformers.js&other=florence2
- Source code: https://github.com/xenova/transformers.js/tree/v3/examples/florence2-webgpu
It supports tasks like image captioning, optical character recognition, object detection, and many more! 😍 WOW!
- Demo: Xenova/florence2-webgpu
- Models: https://huggingface.co/models?library=transformers.js&other=florence2
- Source code: https://github.com/xenova/transformers.js/tree/v3/examples/florence2-webgpu
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yushun0410's
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Hi Huggingfacers!
Thrilled to introduce Adam-mini, an optimizer that achieves on-par or better performance than AdamW with 45% to 50% less memory footprint. Adam-mini can also achieve 49.5% higher throughput than AdamW on Llama2-7B pre-training.
The design of Adam-mini is inspired by certain Hessian structures we observed on Transformers.
Feel free to try it out! Try switching to Adam-mini with the same hyperparams of AdamW, it would work with only half memory. Hope Adam-mini can help save time, cost, and energy in your tasks!
Paper: "Adam-mini: Use Fewer Learning Rates To Gain More" https://arxiv.org/abs/2406.16793
Code: https://github.com/zyushun/Adam-mini
Thrilled to introduce Adam-mini, an optimizer that achieves on-par or better performance than AdamW with 45% to 50% less memory footprint. Adam-mini can also achieve 49.5% higher throughput than AdamW on Llama2-7B pre-training.
The design of Adam-mini is inspired by certain Hessian structures we observed on Transformers.
Feel free to try it out! Try switching to Adam-mini with the same hyperparams of AdamW, it would work with only half memory. Hope Adam-mini can help save time, cost, and energy in your tasks!
Paper: "Adam-mini: Use Fewer Learning Rates To Gain More" https://arxiv.org/abs/2406.16793
Code: https://github.com/zyushun/Adam-mini
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📢 Interested in #LLM safety?
We have just uploaded a new version of ALERT 🚨 on ArXiv with novel insights into the weaknesses and vulnerabilities of LLMs! 👀 https://arxiv.org/abs/2404.08676
For a summary of the paper, read this blog post: https://huggingface.co/blog/sted97/alert 🤗
We have just uploaded a new version of ALERT 🚨 on ArXiv with novel insights into the weaknesses and vulnerabilities of LLMs! 👀 https://arxiv.org/abs/2404.08676
For a summary of the paper, read this blog post: https://huggingface.co/blog/sted97/alert 🤗
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