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Show HN: I built an AI dataset generator

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31–36 of 36 posts

Re: Show HN: I built an AI dataset generator

#31

"Stack: OpenAI API (GPT-4o for data generation)" -- I wonder if someday we'll have a generic API like how it's done in Java (e.g., Servlet API implemented by Tomcat, JBoss etc), so everyone can use their favorite LLM instead of having to register each provider like streaming services e.g. Disney+, Netflix, etc.

isn't this essentially https://openrouter.ai/

Re: Show HN: I built an AI dataset generator

#33

I used Anthropic's new Claude API integration with artifacts to make a probably-worse version that you can play with (after logging in of course). https://claude.ai/public/artifacts/eb7d8256-6d21-4c85-af9b-c... I used this GitHub repo as context and Claude Opus 4 to create this artifact

Haha, I find this kind of exercise telling for what's coming to the one-size-fits-all SaaS companies out there. I see a future where small teams can in-house the set of features they actually need, and a big drop in SaaS usage. Avoids the big vendor lock-in problems, unwanted features and bypasses all the accenture-style consulting fees.

Optimistically, this will allow smaller teams to do more, hopefully incentivizing the consulting places to help out with harder problems.

Re: Show HN: I built an AI dataset generator

#35
post #21

"Dataset" connotes training data, but this seems to generate sample data, maybe for testing an application. Is there any use for synthetic datasets in ML?

Yes, check out Synthbyte.ai, we make training data and have with all sorts of datasets, including NIH data
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