Card: FluidUse demos (topic sort, audio search, code search)
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README.md
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RMSNorm here divides by the row's max-abs value first, which keeps the math in range (plain fp16 RMSNorm: cosine
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0.95 to the reference; this conversion: 0.9996). The final normalization is rescaled the same way.
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License: Apache 2.0, same as the source model.
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RMSNorm here divides by the row's max-abs value first, which keeps the math in range (plain fp16 RMSNorm: cosine
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0.95 to the reference; this conversion: 0.9996). The final normalization is rescaled the same way.
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## Demos ([FluidUse](https://github.com/FluidInference/FluidUse), M5 Pro)
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| Demo | What it shows |
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| `TopicSortDemo` | 10,080 posts sorted into topics live (~600 posts/s); split any topic into subtopics |
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| `AudioSearchDemo` | 4.5 h of audio indexed in 38 s (431× real time, audio on the GPU + text on the Neural Engine at once); eight text searches each return the right three clips (sound files under random names); ~710 searches/s |
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| `CodeSearchDemo` | 5,617 FluidAudio functions indexed in 16 s; plain-English questions find the right function where an exact-phrase grep finds nothing; ~700 searches/s |
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Each runs as a short show: `Sources/<Demo>/demo.sh`, then Play.
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License: Apache 2.0, same as the source model.
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