Introducing Casual Conversations v2: A more inclusive dataset to measure fairness
We are releasing Casual Conversations v2, a consent-driven, public resource that enables researchers to better evaluate the fairness and robustness of certain AI models.Read More
Postponed: 2022 Meta Research Testing and Verification Symposium
Our plan to host the 2022 Meta Research Testing and Verification (TAV) Symposium in person has been postponed because of COVID-related event restrictions.Read More
EgoObjects: A large-scale egocentric dataset for object understanding
In this blog, we’ll introduce the EgoObjects pilot version, consisting of 9,273 videos (30+ hours) for 368 categories of objects, with a total of 654K annotations.Read More
Four analytics best practices we adopted — and why you should too
Data-driven decisions are everywhere. Examples include launching a new feature in your favorite app, ensuring that the products do not discriminate against certain groups…Read More
Introducing LLaMA: A foundational, 65-billion-parameter large language model
Introducing LLaMA (Large Language Model Meta AI), a state-of-the-art foundational large language model.Read More
Token Merging: Your ViT but faster
Meta AI is sharing new research to reduce the latency of existing Vision Transformer (ViT) models without the need for additional training. Our approach, called Token Merging…Read More