Meta launches its smallest and most efficient model, Muse Ember, aimed at reasoning execution and daily agent work.
Meta unveils its smallest and most efficient model, Muse Ember, designed for complex reasoning tasks and routine agent work. It can execute workflows across applications, call tools in sequence, run tests, and perform targeted code fixes. With a native context window of 1 million tokens, it understands text, images, audio, and video natively, capable of handling large document sets and diverse inputs.
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Direct useDocument Format Conversion ↗OpportunitiesOn Xiaohongshu (Little Red Book), someone is selling an AI practical course for ¥9.9. Sales have reached over 37,000 units, with total revenue exceeding ¥360,000.News and AnalysisAI video can now reach 10 minutes: Should creators extend duration or rewrite scripts first? ↗Open-source projectAfter an agent creates a vertical short video, how do you trace the facts in the narration back to their sources? ↗Return to original text
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