Local models need to be tuned to work well so this looks useful. Seems to be for general purpose model serving. I’ve been using <a href="https://github.com/adrianco/retort" rel="nofollow">https://github.com/adrianco/retort</a> to run experiments for coding models across 13 different programming languages to see which frontier and local models work.
Interesting approach. What does the cold-start phase look like for a new agent? How many traces or runs do you typically need before the router has enough signal to safely offload tasks from the frontier model??
Not sure I get it. The model you're improving is local? If so how do you even calculate cost compared to an API
The title is misleading. This is model routing, not distillation.
Cool project
Cool idea! How do you guarantee privacy?
Excited to play with this.
The absolute best way to prove this works is by releasing a model that was fine-tuned with this method and then showing benchmarks depicting the improvement delta between the base model and the fine tuned one.<p>The work is not done. Then release it to the masses and wait a few days for the actual real world anecdotes.<p>Until then, this is noise.
Valid criticism. Happy to answer any qs. We're still working on solidfying results.
Ok, I think it is in your interest to wait until you have more to show, and we'll be happy to help you with reposting it once it's ready.<p>Waitlists are against the Show HN rules (<a href="https://news.ycombinator.com/showhn.html">https://news.ycombinator.com/showhn.html</a>), and you're likely to get a lot of community pushback if you post before there's enough substance for users to sink their teeth into.<p>Edit: we eventually got a more substantive writeup from OP so I moved that text to the top and re-upped this thread.
Benchmarks are the ultimate consolidation of halnons razor.
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Yeah, this is just slop. No benchmarks, no concrete case studies, just some vibecoded "platform" to finetune models on your own traces.<p>Which is an idea that has some value, but also some weaknesses. And this implementation of it isn't forthcoming with that concept. You have to really dig in to understand what they're even talking about.
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