Wire flash
Meta unveils Muse Ember, its smallest and most efficient AI model
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Meta announced Muse Ember, described as its smallest and most efficient model, built for complex reasoning execution and everyday agent work. According to the post, Muse Ember can carry workflows across apps, call tools in sequence, run tests, and make targeted code fixes. It features a 1M-token context window and native understanding of text, images, audio, and video, allowing it to work across large document sets and varied inputs. The announcement positions the model for agentic tasks and multimodal document handling, though no benchmark results, pricing, availability date, or licensing details were disclosed in the post.
Source report
Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work.
Key Capabilities
- Workflow automation: Muse Ember can carry workflows across apps, call tools in sequence, run tests, and make targeted code fixes.
- Large context window: A 1M-token context window enables work across large document sets.
- Multimodal understanding: Native understanding of text, images, audio, and video allows the model to handle varied inputs.
Source
AIatMetaNeutral / independent
Part of this Story
Meta releases Muse Ember, claiming Haiku-level intelligence at a third of the cost