Antoine Bordes

VP AI @ Helsing

[Helsing @HelsingAI]

AI is reshaping the world. Defence is protecting it. Women are underrepresented in both. We intend to change that.

Women in AI launches on 23rd April in Paris, a series for practitioners, researchers, and leaders. Then Munich and London.

Speakers from @GoogleDeepMind, @AIatMeta, @MistralAI, and Helsing. Register below. https://t.co/Cu3KHpggKp

[Emmanuel Duteil @EmmanuelDuteil]

La France, bien positionnée pour devenir un acteur-clé dans l'#IA de défense ? "On a tout ce qu'il faut : les talents et les géants industriels avec qui collaborer", assure @AntoineBordes vice-président de #Helsing dont l'ambition est d'être "l'OpenAI de la défense" @franceinter

[Emmanuel Duteil @EmmanuelDuteil]

"En Ukraine, depuis deux ans, on a déjà vécu plusieurs révolutions technologiques sur la manière de faire la guerre", constate @AntoineBordes le vice-président de #Helsing, société spécialisée dans l'#IntelligenceArtificielle de défense #Narretepasleco @franceinter

[Yann LeCun @ylecun]

This is huge: Llama-v2 is open source, with a license that authorizes commercial use!

This is going to change the landscape of the LLM market.
Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers

Pretrained and fine-tuned models are available with 7B, 13B and 70B parameters.

Llama-2 website: https://t.co/PKrrXgHdem
Llama-2 paper: https://t.co/aINNrXNhMb

A number of personalities from industry and academia have endorsed our open source approach: https://t.co/N7HwgW9Suh

[Antoine Bordes @AntoineBordes]

@bremen79 @david_picard @gautamcgoel @roydanroy @AdenIshaq @OmarRivasplata @ylecun Brings back memories! And indeed LaSVM was a modified SMO

[Les Echos-Le Parisien Communication @Echos_Parisien]

#VivaTech 🚀

"Can democracy survive AI ?", modéré par @LouettePierre, PDG du Groupe @LesEchos-@le_Parisien, avec @Aurelie_JEAN, Fondatrice et PDG In Silico Veritas et @AntoineBordes, Vice Président AI @HelsingAI depuis la Stage 1 de @VivaTech.

[AI at Meta @AIatMeta]

In 2021, we created a research demo that brought amateur drawings to life through animation — today, we're open-sourcing the code + releasing a first-of-its-kind dataset of nearly 180K annotated amateur drawings to help researchers keep innovating in this space.

More details ⬇️

[Antoine Bordes @AntoineBordes]

LLMs can also learn and predict protein structures! And fast! Great job @alexrives and team.

[Science Magazine @ScienceMagazine]

In a Science study, @MetaAI researchers show the power of a large language model, #ESMFold, to enable protein structure prediction and analysis.

Using ESMFold, they generated a database—the ESM Metagenomic Atlas—of over 600 million metagenomic proteins. https://t.co/p9mPNsl5UW

[CABIROL MICHEL @MCABIROL]

« Helsing a l'ambition d'être un accélérateur pour l'IA de défense » @AntoineBordes @Armees_Gouv @DGA @thalesgroup @AtosFR @eavidian @Airbus @AJDPresse @AJPAE

[Torsten Reil @torstenreil]

Big news - FAIR's @AntoineBordes is joining Helsing as VP Artificial Intelligence. https://t.co/3XbECV9Yvk

[Antoine Bordes @AntoineBordes]

Crazy times for AI! And it is true for defence too. Time for a new chapter for me: https://t.co/F2F67M9a9O

[Antoine Bordes @AntoineBordes]

Do LLMs work like the human brain? Not clear as shown in this piece by @c_caucheteux @JeanRemiKing & @agramfort . Check it out

[AI at Meta @AIatMeta]

New in Nature Human Behavior, Meta AI researchers show how current language models differ from the human brain & highlight the role of long-range & hierarchical predictions.

We hope these findings will help inform the next generation of AI ➡️ https://t.co/EC3f4s6Ens

[Antoine Bordes @AntoineBordes]

This release is great step towards understanding and reproducibility of LLMs!

[AI at Meta @AIatMeta]

Today we're publicly releasing LLaMA, a state-of-the-art foundational LLM, as part of our ongoing commitment to open science, transparency and democratized access to new research.

Learn more & request access ➡️ https://t.co/8AeLVhMWkq

[Guillaume Lample @ NeurIPS 2024 @GuillaumeLample]

Today we release LLaMA, 4 foundation models ranging from 7B to 65B parameters.
LLaMA-13B outperforms OPT and GPT-3 175B on most benchmarks. LLaMA-65B is competitive with Chinchilla 70B and PaLM 540B.
The weights for all models are open and available at https://t.co/q51f2oPZlE
1/n

[Timo Schick @timo_schick]

🎉 New paper 🎉 Introducing the Toolformer, a language model that teaches itself to use various tools in a self-supervised way. This significantly improves zero-shot performance and enables it to outperform much larger models. 🧰

🔗 Link: https://t.co/FvjzhysMze

[Antoine Bordes @AntoineBordes]

cc @apeyrache

[Antoine Bordes @AntoineBordes]

Awesome new work from FAIR at @MetaAI on blind AI agents learning to build internal spatial representations ("mental maps") of their environment while learning to navigate!

[Dhruv Batra @DhruvBatra_]

A thought-experiment to inspire scientists is to ask:

If you could write only 20 papers in your lifetime, would your current work be one of them?

This is one of my 20.

https://t.co/qiHsZezm3P
https://t.co/JjdFfljjrS

🧵👇

[Antoine Bordes @AntoineBordes]

The pace of progress in #GenerativeAI is accelerating day after day! Now you can generate 4D assets from text !!

[Devi Parikh @deviparikh]

Introducing Make-A-Video3D! Generating 3D dynamic (mini) scenes from input text.

That is, text --> 4D!

Needs no 4D data (i.e., no dynamic 3D data), no static 3D data, no paired text-video data.

Paper: https://t.co/BDv2ZjWPgN

Website: https://t.co/7EVeYMR5oL

[Devi Parikh @deviparikh]

Introducing Make-A-Video3D! Generating 3D dynamic (mini) scenes from input text.

That is, text --> 4D!

Needs no 4D data (i.e., no dynamic 3D data), no static 3D data, no paired text-video data.

Paper: https://t.co/BDv2ZjWPgN

Website: https://t.co/7EVeYMR5oL

[Antoine Bordes @AntoineBordes]

@xavieryvon Siffler les penalties?