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Yacine Jernite

yjernite

https://yjernite.github.io/

AI & ML interests

Technical, community, and regulatory tools of AI governance @HuggingFace

Recent Activity

upvoted a collection 1 day ago

OLMo 2

liked a Space 1 day ago

PR-Puppets/PR-Puppet-Sora

upvoted an article 1 day ago

Let’s make a generation of amazing image generation models

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Articles

EU Training Data Transparency: A Proposal for a Sufficiently Detailed Summary 📑📚🖼️🇪🇺

Jul 3

• 8

Ethics and Society Newsletter #6: Building Better AI: The Importance of Data Quality

Jun 24

• 33

📚 Training Data Transparency in AI: Tools, Trends, and Policy Recommendations 🗳️

Dec 5, 2023

• 1

Introducing IDEFICS: An Open Reproduction of State-of-the-art Visual Language Model

Aug 22, 2023

• 27

AI Policy @🤗: Open ML Considerations in the EU AI Act

Jul 24, 2023

• 2

AI Policy @🤗: Response to the U.S. NTIA's Request for Comment on AI Accountability

Jun 20, 2023

Hugging Face Selected for the French Data Protection Agency Enhanced Support Program

May 15, 2023

Ethics and Society Newsletter #3: Ethical Openness at Hugging Face

Mar 30, 2023

Ethics and Society Newsletter #2: Let's talk about bias!

Dec 15, 2022

Putting ethical principles at the core of research lifecycle

May 19, 2022

Introducing the Data Measurements Tool: an Interactive Tool for Looking at Datasets

Nov 29, 2021

Organizations

Posts 1

Post

👷🏽‍♀️📚🔨 Announcing the Foundation Model Development Cheatsheet!

My first 🤗Post🤗 ever to announce the release of a fantastic collaborative resource to support model developers across the full development stack: The FM Development Cheatsheet available here: https://fmcheatsheet.org/

The cheatsheet is a growing database of the many crucial resources coming from open research and development efforts to support the responsible development of models. This new resource highlights essential yet often underutilized tools in order to make it as easy as possible for developers to adopt best practices, covering among other aspects:
🧑🏼‍🤝‍🧑🏼 data selection, curation, and governance;
📖 accurate and limitations-aware documentation;
⚡ energy efficiency throughout the training phase;
📊 thorough capability assessments and risk evaluations;
🌏 environmentally and socially conscious deployment strategies.

We strongly encourage developers working on creating and improving models to make full use of the tools listed here, and to help keep the resource up to date by adding the resources that you yourself have developed or found useful in your own practice 🤗

Congrats to all the participants in this effort for the release! Read more about it from:
@Shayne - https://twitter.com/ShayneRedford/status/1763215814860186005
@hails and @stellaathena - https://blog.eleuther.ai/fm-dev-cheatsheet/
@alon-albalak - http://nlp.cs.ucsb.edu/blog/a-new-guide-for-the-responsible-development-of-foundation-models.html

And also to @gabrielilharco @sayashk @kklyman @kylel @mbrauh @fauxneticien @avi-skowron @Bertievidgen Laura Weidinger, Arvind Narayanan, @VictorSanh @Davlan @percyliang Rishi Bommasani, @breakend @sasha 🔥