Hugging Face's logo
María Grandury's picture
TFLOPS icon 3.6 TFLOPS
65 26 159

María Grandury

mariagrandury
Ujangajuy's profile picture loudefang's profile picture younes-io's profile picture
·
https://mariagrandury.com

AI & ML interests

Responsible AI | NLP in Spanish @ hf.co/SomosNLP

Organizations

Notebooks-explorers's profile picture Spaces-explorers's profile picture Flax Community's profile picture BERTIN Project's profile picture NLP en ES's profile picture Hackathon Somos NLP 2023: Los LLMs hablan Español's profile picture BigScience Biomedical Datasets's profile picture BigScience Data's profile picture I Hackathon Somos NLP: PLN en Español's profile picture Biomedical TeMU's profile picture SomosNLP's profile picture Hugging Face Fellows's profile picture Gradio-Blocks-Party's profile picture BigCode's profile picture Platzi Community's profile picture Curso IA Aplicada UNIA 2023's profile picture Blog-explorers's profile picture Hack Corpus ES's profile picture huggingPartyParis's profile picture ZeroGPU Explorers's profile picture Women on Hugging Face's profile picture Data Is Better Together's profile picture I Hackathon Somos NLP: PLN en Español's profile picture Social Post Explorers's profile picture somoswip's profile picture La Leaderboard's profile picture Dev Mode Explorers's profile picture Hugging Face Discord Community's profile picture El Gran Corpus's profile picture elgrancorpus-it's profile picture eval-test's profile picture AI Developers from Latin America's profile picture MultiLingualCrowsPairs's profile picture Latam-GPT's profile picture

Posts 2

view post
Post
✅ Ever wondered how to measure transparency in model development?

My last open-source contribution for 2023 is s Space that allows you to self-assess the transparency of your model based on the 100 indicators of the Foundation Model Transparency Index (FMTI).

The original study evaluated the developers of 10 top LLMs. Curious about how yours measures up? 👀

mariagrandury/fmti-transparency-self-assessment

Let's commit to a 2024 with greater transparency in the AI ecosystem! 🚀
view post
Post
Holiday talk about AI taking over? Let's shift the narrative!

🌟 There is no reason to believe that just because AI systems are intelligent they will want to dominate us. Yann LeCun reminds us that AI systems won't have the same motivations as humans, we'll design them not to.

🌍 Instead of getting distracted by future existential risks, we must address AI’s more pressing risks — like emitting carbon, infringing copyrights and spreading bias. Sasha Luccioni urges us to create tools and legislation that promote transparency and diversity.

💡 Dive deeper into these perspectives:
- Yann's ( @ylecun ) WIRED interview (12'): https://www.wired.com/story/artificial-intelligence-meta-yann-lecun-interview/
- Sasha's ( @sasha ) TED Talk (10'): https://www.ted.com/talks/sasha_luccioni_ai_is_dangerous_but_not_for_the_reasons_you_think

P.S.: Love this new "Posts" feature, big thanks to 🤗 for letting me try it!

What are your go-to citations for AI risks? 👇

Collections 5

Papers 5