We recently released Belebele, a first-of-its-kind multilingual reading comprehension dataset. It's parallel for 122 language variants, enabling direct comparison of how well models understand different languages.

Dataset ⬇️
github.com/facebookresear…

📣 Llama 2 and Code Llama are now on #KaggleModels !

We've expanding access to DINOv2 by releasing the training code and model weights under the Apache-2 license.

Details on this and more of our recent work to advance computer vision research and fairness in AI ⬇️

(1/8) In July, we presented SAR at #RSS2023 . We show that SAR enables SOTA high-dim control by applying the neuroscience of muscle synergies to reinforcement learning!

Check out our thread on SAR below 👇

Site (code, vids): sites.google.com/view/sar-rl/ho…
Paper: arxiv.org/abs/2307.03716

Congratulations Yann LeCun for being selected as one of the #TIME100AI for 2023. See the full list and a short interview with Yann on TIME ➡️ bit.ly/3EucxW8

Anyscale Endpoints enables AI application developers to easily swap closed models for the Llama 2 models — or use open models along with closed models in the same application.

As part of our continued belief in the value of an open approach to today's AI, we've published a research paper with more information on Code Llama training, evaluation results, safety and more.

Code Llama: Open Foundation Models for Code ➡️ bit.ly/44DEqpj

Last week we released FACET, a new comprehensive benchmark dataset for evaluating the fairness of models across a number of different vision tasks, constructed of 32K images from SA-1B, labeled by expert annotators.

Read the paper ➡️ bit.ly/3EotZvg

We believe that AI models benefit from an open approach, both in terms of innovation and safety. Releasing models like Code Llama means the entire community can evaluate their capabilities, identify issues & fix vulnerabilities. github.com/facebookresear…

💪The biggest release so far!

🧩300+ tasks to challenge the best Reinforcement Learning algorithms to solve real human motor intelligence challenges!

Baselines both on upper and lower limbs!

Try it! ⭐️

github.com/MyoHub/myosuite

🦙 Llama 2 and Code Llama models are now available in the Vertex AI Model Garden — more details from Google Cloud Tech ⬇️

In the interest of open science and sharing our research, we've published a paper outlining the work on our recently released SeamlessM4T all-in-one multilingual & multimodal translation model.

Read the full paper ➡️ bit.ly/44uzanK

Just tried out Code Llama (34B) on Anyscale Endpoints.

Impressive work from Meta AI, and I'm proud to see our team at Anyscale ship this the same day.

Try it out: app.endpoints.anyscale.com