Semiring

Create Powerful ML Models from 5 Data Samples

73 followers

Create Powerful ML Models from 5 Data Samples

73 followers

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Build and deploy ML models with ease using Semiring. Start with 5 data samples to craft datasets, fine-tune with our models, and deploy via a simple API. No ML know-how is needed.

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Launch tags:Software Engineering•Artificial Intelligence•No-Code

Launch Team

Render Sandboxes: a computer for every agentIsolated compute, persistent state and a real filesystem

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Maker

📌

Hi Product Hunters! 👋 I'm Zai, diving deep into the ML world alongside my buddy Matthias. We're all about breaking down the barriers to ML model building with our latest venture: Semiring. Ever hit a wall with no dataset that fits your needs? Say, something like sorting contracts, categorizing books, or extracting information from CVs? That's where we were, scratching our heads until we struck gold with LLMs for data generation. It was a game-changer! We’ve since crafted models that seemed like dreams before. We believe you shouldn't need a PhD in ML to leverage its potential. Whether you’re a developer eager to infuse ML into your app, or simply curious, Semiring's here to turn that complexity into a few clicks. Excited to see what you'll create when ML is just part of your toolkit!

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3yr ago

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why should I build ML models? I am not that informed with the AI/ML so I assume it is to be able process data that is relative to me?

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3yr ago

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@kingromstar Hi Rami! Machine learning models are often used to extract/generate information from unstructured data. For example, if you have an HR SaaS and you want to be able to classify CVs into categories like "software engineer", "product manager", etc. You can build a model for that. You can use LLMs to do the same thing, but they are slow, costly, not robust, and might not fit your privacy needs.

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3yr ago