Yannis Tevissen
yannistevissen.fr
Yannis Tevissen
@yannistevissen.fr
AI scientist | Video Understanding, Retrieval & AI fairness | Head of Science @Moments Lab

https://yannistevissen.fr
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I created #UpToCure, a go-to website to read about recent medical research aiming to cure rare diseases. Powered by an open-source deep research agent
Please check it out, feedbacks are welcomed.
uptocure.com
UpToCure - Rare Disease Research Reports
Access up-to-date reports on ongoing research efforts to cure rare diseases. Making scientific information more accessible to everyone.
uptocure.com
Reposted by Yannis Tevissen
Production houses own vast video archives potentially worth millions. The problem? Finding the right moment quickly from 15 seasons of content is humanly impossible.

In Ad World News, our Head of Science @yannistevissen.fr breaks down how AI video understanding is solving this.
tinyurl.com/3kdabn4f
November 10, 2025 at 7:45 AM
I created #UpToCure, a go-to website to read about recent medical research aiming to cure rare diseases. Powered by an open-source deep research agent
Please check it out, feedbacks are welcomed.
uptocure.com
UpToCure - Rare Disease Research Reports
Access up-to-date reports on ongoing research efforts to cure rare diseases. Making scientific information more accessible to everyone.
uptocure.com
May 31, 2025 at 3:17 PM
Reposted by Yannis Tevissen
We’re proud to introduce you to the newest version of our patented AI model: MXT-2. Designed to empower organizations to manage, search for, repurpose and monetize large video libraries even more effectively. ✨

Learn more about it from our team 👉 www.youtube.com/watch?v=7qDu...
MXT-2 - the Most Advanced Multimodal AI for Video Discovery
YouTube video by Moments Lab
www.youtube.com
March 18, 2025 at 1:13 PM
We're recruiting a machine learning intern to work on a cool video understanding project. Feel free to reach out if you are interested or apply here: careers.momentslab.com/jobs/5331848...
Machine Learning Intern - Video Understanding - (X/F/M) - Moments Lab
Did you know that every two years, the volume of audiovisual content produced worldwide doubles? More content produced = more content stored. Faced with the challenge of managing this endless strea...
careers.momentslab.com
December 17, 2024 at 11:06 AM
Reposted by Yannis Tevissen
NVILA: Efficient Frontier Visual Language Models

abs: arxiv.org/abs/2412.04468

NVIDIA introduces NVILA, a family of open VLMs designed to optimize both efficiency and accuracy.
December 6, 2024 at 1:36 PM
I was honored to speak at the OECD on Monday about AI and Disability. There’s a lot to do to make the AI models and community more inclusive
December 4, 2024 at 12:00 PM
Reposted by Yannis Tevissen
Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs.

SmolVLM can be fine-tuned on a Google collab and be run on a laptop! Or process millions of documents with a consumer GPU!
November 26, 2024 at 3:57 PM
Reposted by Yannis Tevissen
Unfair AI goes beyond data bias!
An example in France: fraud detection on social benefits naturally ends up targeting poor people, as they benefit more from social benefits.
www.laquadrature.net/caf-notation...

Fraud detection on wealth tax would naturally target the rich 1/
November 24, 2024 at 5:42 PM
Reposted by Yannis Tevissen
Making SmolLM2 more reproducible: open-sourcing our training & evaluation toolkit 🛠️ github.com/huggingface/...

Pre-training & evaluation code, synthetic data generation pipelines, post-training scripts, on-device tools & demos

Apache 2.0. V2 data mix coming soon!

Which tools should we add next?
GitHub - huggingface/smollm: Everything about the SmolLM & SmolLM2 family of models
Everything about the SmolLM & SmolLM2 family of models - GitHub - huggingface/smollm: Everything about the SmolLM & SmolLM2 family of models
github.com
November 24, 2024 at 7:16 AM