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Roadster – Electric Sports Car | Tesla United Kingdom - Tesla
Roadster – Electric Sports Car | Tesla United Kingdom Tesla
Terrell McSweeny: How Should Facebook and Other Companies Protect Privacy While Letting People Share Their Information Between Apps and Services? - meta.com
Terrell McSweeny: How Should Facebook and Other Companies Protect Privacy While Letting People Share Their Information Between Apps and Services? meta.com
OpenAI Five Benchmark: Results
Yesterday, OpenAI Five won a best-of-three against a team of 99.95th percentile Dota players: Blitz, Cap, Fogged, Merlini, and MoonMeander—four of whom have played Dota professionally—in front of a live audience and 100,000 concurrent livestream viewers.
Enforcing Our Community Standards - meta.com
Enforcing Our Community Standards meta.com
Legal | Tesla United Kingdom - Tesla
Legal | Tesla United Kingdom Tesla
Working Together to Give People More Control of Their Data - meta.com
Working Together to Give People More Control of Their Data meta.com
Glow: Better reversible generative models
We introduce Glow, a reversible generative model which uses invertible 1x1 convolutions. It extends previous work on reversible generative models and simplifies the architecture. Our model can generate realistic high resolution images, supports efficient sampling, and discovers features that can be used to manipulate attributes of data. We’re releasing code for the model and an online visualization tool so people can explore and build on these results.
Glow: Better reversible generative models
We introduce Glow, a reversible generative model which uses invertible 1x1 convolutions. It extends previous work on reversible generative models and simplifies the architecture. Our model can generate realistic high resolution images, supports efficient sampling, and discovers features that can be used to manipulate attributes of data. We’re releasing code for the model and an online visualization tool so people can explore and build on these results.
Learning Montezuma’s Revenge from a single demonstration
We’ve trained an agent to achieve a high score of 74,500 on Montezuma’s Revenge from a single human demonstration, better than any previously published result. Our algorithm is simple: the agent plays a sequence of games starting from carefully chosen states from the demonstration, and learns from them by optimizing the game score using PPO, the same reinforcement learning algorithm that underpins OpenAI Five.
Learning Montezuma’s Revenge from a single demonstration
We’ve trained an agent to achieve a high score of 74,500 on Montezuma’s Revenge from a single human demonstration, better than any previously published result. Our algorithm is simple: the agent plays a sequence of games starting from carefully chosen states from the demonstration, and learns from them by optimizing the game score using PPO, the same reinforcement learning algorithm that underpins OpenAI Five.
Tesla App Support - Tesla
Tesla App Support Tesla
A New Level of Transparency for Ads and Pages - meta.com
A New Level of Transparency for Ads and Pages meta.com
Keyword Snooze: A New Way to Help Control Your News Feed - meta.com
Keyword Snooze: A New Way to Help Control Your News Feed meta.com
Find Us - Tesla
Find Us Tesla
Removing Bad Actors From Facebook - meta.com
Removing Bad Actors From Facebook meta.com
Hard Questions: How Is Facebook’s Fact-Checking Program Working? - meta.com
Hard Questions: How Is Facebook’s Fact-Checking Program Working? meta.com
Improving language understanding with unsupervised learning
We’ve obtained state-of-the-art results on a suite of diverse language tasks with a scalable, task-agnostic system, which we’re also releasing. Our approach is a combination of two existing ideas: transformers and unsupervised pre-training. These results provide a convincing example that pairing supervised learning methods with unsupervised pre-training works very well; this is an idea that many have explored in the past, and we hope our result motivates further research into applying this idea...
Improving language understanding with unsupervised learning
We’ve obtained state-of-the-art results on a suite of diverse language tasks with a scalable, task-agnostic system, which we’re also releasing. Our approach is a combination of two existing ideas: transformers and unsupervised pre-training. These results provide a convincing example that pairing supervised learning methods with unsupervised pre-training works very well; this is an idea that many have explored in the past, and we hope our result motivates further research into applying this idea...
An Update on the Audience Selector Error - meta.com
An Update on the Audience Selector Error meta.com
New Tools for Nonprofit Fundraisers - meta.com
New Tools for Nonprofit Fundraisers meta.com