sinc-LLM
Turn any prompt into 6 Nyquist bands. Cut LLM costs 97%.
What it does
Free sinc-LLM prompt transformer. Apply the Nyquist-Shannon sampling theorem to your LLM prompts. Decompose raw prompts into 6 specification bands for faithful reconstruction.
Does the same job
all alternatives →- RYRoute your prompts to the best LLM2024 · unify.ai · ▲298
Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be/ZpY6SIkBosE Best results when training a custom router on your own prompt data: https://youtu.be/9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time…
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