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Posts in category: Facebook AI

Postponed: 2022 Meta Research Testing and Verification Symposium

March 3, 2023
by Facebook AI

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

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EgoObjects: A large-scale egocentric dataset for object understanding

March 3, 2023
by Facebook AI

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

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Four analytics best practices we adopted — and why you should too

February 28, 2023
by Facebook AI

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

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Introducing LLaMA: A foundational, 65-billion-parameter large language model

February 24, 2023
by Facebook AI

Introducing LLaMA (Large Language Model Meta AI), a state-of-the-art foundational large language model.Read More

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Token Merging: Your ViT but faster

February 8, 2023
by Facebook AI

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

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The future of time-series forecasting, with RFP winner B. Aditya Prakash

February 2, 2023
by Facebook AI

From time to time, Meta invites academics to propose research in specific areas that align with our mission of building community and bringing the world closer together.Read More

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Delegated Multi-key Private Matching for Compute: Improving match rates and enabling adoption

January 30, 2023
by Facebook AI

The ever-increasing adoption of privacy-enhancing technologies (PETs) provides new layers of privacy in areas such as secure data analytics and machine learning. The first step…Read More

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How Meta uses AI to better understand people’s ages on our platforms

January 25, 2023
by Facebook AI

Providing age-appropriate experiences for the billions of people who use our services around the world is an important element of what we do.Read More

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Atlas: Few-shot learning with retrieval augmented language models

January 9, 2023
by Facebook AI

We released the code for our Atlas project [1] on GitHub, as well as pretrained Atlas model checkpoints, an index, and Wikipedia corpora. We present how to build a Q&A system…Read More

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The future of time-series forecasting, with RFP winner B. Aditya Prakash

December 22, 2022
by Facebook AI

From time to time, Meta invites academics to propose research in specific areas that align with our mission of building community and bringing the world closer together.Read More

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  • Automate Amazon Rekognition Custom Labels model training and deployment using AWS Step Functions
  • Build a machine learning model to predict student performance using Amazon SageMaker Canvas

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