Ollaya – Ollama for open-source, Jev-style decision models
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Ollaya – Ollama for open-source, Jev-style decision models
Unofficial Hacker News client; not affiliated with Y Combinator.
solaire_oa · · focus · HN ↗
Like, their example is of classification for a support interface.... `refund_requested`. Pretty convenient bool given the example is about a refund- what if 99% of submissions don't ask about a refund? Also, is that user not a `churn_risk`? What could possibly qualify as a churn risk if not a user asking for a refund?
<a href="https://ollaya.dev/library/laya" rel="nofollow">https://ollaya.dev/library/laya The examples suffer the same problem of why I'd prefer to use a string column vs an enum. Changing an enum means you need to update the db, using a string you can do whatever.
I'm not trying to be negative, I genuinely want to know about some practical examples (that don't require tons of backwards maintenance).
devttyeu · · focus · HN ↗
Really I think "smart grep" is a pretty good one ('look for an error looking vaguely like this'). Also I think sql-based shell history + decision model is quite good to make the last 'which one of those choices is best fit given users past few commands' etc.
solaire_oa · · focus · HN ↗
I very much appreciate your to-the-point, non-vibed README as well, ty for that.
devttyeu · · focus · HN ↗
On the readme I'm so sorry to tell you that, but it's 100% written by Opus 5.5 with zero "pretty please don't write slop" prompting, it's just how slop is going to look like from now on. I've been writing code for 15 years or sth like that and the code is also what I'd call pretty reasonable..
solaire_oa · · focus · HN ↗
solaire_oa · · focus · HN ↗
But if that were solved, I could see giving ollaya/grev to LLMs themselves, giving LLMs their own massive token-saver.
cobanov · · focus · HN ↗
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