Gradio 3.0 is Out!

Machine Learning Demos Machine learning demos are an increasingly vital part of releasing a model. Demos allow anyone — not just ML engineers — to try out a model in the browser, give feedback on predictions, and build trust in the    

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Machine Learning Experts – Sasha Luccioni

🚀 If you’re interested in learning how ML Experts, like Sasha, can help accelerate your ML roadmap visit: hf.co/support. Hey friends! Welcome to Machine Learning Experts. I’m your host, Britney Muller and today’s guest is Sasha Luccioni. Sasha is a Research Scientist at Hugging Face where she works on the ethical and societal impacts of Machine Learning models and    

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An Introduction to Q-Learning Part 1

⚠️ A new updated version of this article is available here 👉 https://huggingface.co/deep-rl-course/unit1/introduction This article is part of the Deep Reinforcement Learning Class. A free course from beginner to expert. Check the syllabus here. ⚠️ A new updated version of this article is available here 👉 https://huggingface.co/deep-rl-course/unit1/introduction This article is part of the Deep Reinforcement Learning Class.    

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Putting ethical principles at the core of the research lifecycle

Purpose of the ethical charter It has been well documented that machine learning research and applications can potentially lead to “data privacy issues, algorithmic biases, automation risks and malicious uses” (NeurIPS 2021 ethics guidelines). The purpose of this short document is to formalize the ethical principles that we (the multimodal learning group at Hugging Face) adopt for the project we are pursuing. By defining these ethical principles at the beginning of the project, we make them    

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