AudioCipher
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AudioCipher V3 is a melody and chord generator app for MIDI instruments. The website also publishes longform articles on AI music and software for musicians.
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AudioCipher's answer
Audiocipher is the first and only MIDI plugin to explore text-to-music, with controls over key signature, chord extensions, and rhythm automation. It includes randomization features as well to ensure users get unlimited variations.
AudioCipher's answer
Audiocipher is designed for music producers seeking inspiration in the DAW.
Such a handy little VST. Great for inspiring new ideas when you're stuck.
Based on our record, Jsonformer seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
How does this compare in terms of latency, cost, and effectiveness to jsonformer? https://github.com/1rgs/jsonformer. - Source: Hacker News / 10 months ago
I'm not sure how this is different than: https://github.com/1rgs/jsonformer or https://github.com/mkuchnik/relm or https://github.com/Shopify/torch-grammar Overall there are a ton of these logit based guidance systems, the reason they don't get tons of traction is the SOTA models are behind REST APIs that don't enable this fine-grained approach. Those... - Source: Hacker News / 10 months ago
You're correct with interpreting how the model works wrt it returning tokens one at a time. The model returns one token, and the entire context window gets shifted right by one to for account it when generating the next one. As for model performance at different context sizes, it's seems a bit complicated. From what I understand, even if models are tweaked (for example using the superHOT RoPE hack or sparse... - Source: Hacker News / 10 months ago
From here, we just need to continue generating tokens until we get to a closing quote. This approach was borrowed from Jsonformer which uses a similar approach to induce LLMs to generate structured output. Continuing to do so for each property using Replit's code LLM gives the following output:. - Source: dev.to / 11 months ago
Https://github.com/1rgs/jsonformer or https://github.com/microsoft/guidance may help get better results, but I ended up with a bit more of a custom solution. Source: 11 months ago
Captain Chords - Write chord progressions in your favorite DAW
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