Stable Bias

AI & ML interests

None defined yet.

Recent Activity

stable-bias's activity

yjerniteΒ 
posted an update 12 days ago
view post
Post
2035
πŸ‡ͺπŸ‡Ί Policy Thoughts in the EU AI Act Implementation πŸ‡ͺπŸ‡Ί

There is a lot to like in the first draft of the EU GPAI Code of Practice, especially as regards transparency requirements. The Systemic Risks part, on the other hand, is concerning for both smaller developers and for external stakeholders.

I wrote more on this topic ahead of the next draft. TLDR: more attention to immediate large-scale risks and to collaborative solutions supported by evidence can help everyone - as long as developers disclose sufficient information about their design choices and deployment contexts.

Full blog here, based on our submitted response with @frimelle and @brunatrevelin :

https://huggingface.co/blog/yjernite/eu-draft-cop-risks#on-the-proposed-taxonomy-of-systemic-risks
  • 2 replies
Β·
christopherΒ 
posted an update 17 days ago
view post
Post
1562
The folks at Foursquare released a dataset of 104.5 million places of interest ( foursquare/fsq-os-places) and here's all of them on a plot
Β·
christopherΒ 
posted an update 19 days ago
christopherΒ 
posted an update 4 months ago
view post
Post
1323
4 million chess puzzles
yjerniteΒ 
posted an update 10 months ago
view post
Post
πŸ‘·πŸ½β€β™€οΈπŸ“šπŸ”¨ Announcing the Foundation Model Development Cheatsheet!

My first πŸ€—PostπŸ€— 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:
πŸ§‘πŸΌβ€πŸ€β€πŸ§‘πŸΌ data selection, curation, and governance;
πŸ“– accurate and limitations-aware documentation;
⚑ energy efficiency throughout the training phase;
πŸ“Š 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 πŸ€—

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 πŸ”₯
  • 1 reply
Β·
christopherΒ 
posted an update 10 months ago
christopherΒ 
posted an update 11 months ago