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Resources and tools for advancing AI, together. Cutting-edge open source frameworks, tools, libraries, datasets and models for research exploration to large-scale production deployment. Frameworks and tools. Sharing our ML frameworks and tools with the community to collaborate and accelerate the advancement of AI. Explore frameworks and tools.
Meta AI is committed to developing responsible AI and ensuring the safe use of this state-of-the-art video technology. Our research takes the following steps to reduce the creation of harmful, biased, or misleading content.
Jan 24, 2022 · High-performance computing infrastructure is a critical component in training such large models, and Meta’s AI research team has been building these high-powered systems for many years. The first generation of this infrastructure, designed in 2017, has 22,000 NVIDIA V100 Tensor Core GPUs in a single cluster that performs 35,000 training jobs a day.
Meta AI. 215,470 likes · 29,857 talking about this. Ask me anything.
Apr 18, 2024 · Search or Ask Meta AI: You can now ask Meta AI a question right from the search feature at top of your chats. Just start typing and Meta AI will provide suggestions for you to choose or you can keep typing to ask a question in full. Answers about sports, entertainment, and current events are provided by leading search providers.
Aug 8, 2022 · To build AI systems that can interact with people in more intelligent, safer, and useful ways, we need to teach them to adapt to our ever-changing needs. Over the past few years, Meta AI has made exciting progress in building smarter conversational AI systems with BlenderBot and its successor, BlenderBot 2. These conversational agents broke ...
Sep 27, 2023 · Today, we’re sharing new generative AI System Cards on Meta’s AI website – one for AI systems that generate text that powers Meta AI and another for AI systems that generate images for AI stickers, Meta AI, restyle, and backdrop. These include an interactive demo so people can see how refining their prompt affects the output from the models.
