CategorAIze.io allows you to automate the organization of data into hierarchical categories utilizing cutting-edge LLM technologies. The platform categorizes data based on textual content and images, with options for both fixed and AI-generated categories.
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Built this "GPT wrapper" that helps organize texts, URLs, images, and documents into hierarchical categories. The system categorizes data by its textual content and images. For URLs, it considers the URL itself, the content at the destination, and the screenshot of the page.
You can use predefined categories or have the system generate them for you.
You can interact with the system manually via a GUI, through an API, or by importing and exporting CSV files.
The payment model is flexible, operating on a pay-as-you-go basis with credits used for AI categorization events. Additionally, there’s an optional monthly subscription for permanent data storage.
Currently looking for some good potential platforms to build integrations for. Any kind of feedback or suggestions are more than welcome:)
congratulations on launching categoraiize.io, jānis. the flexible interaction modes and payment models you've implemented are interesting. i'm curious, how does your ai handle ambiguities in data categorization, especially when dealing with subtle nuances in text or images?
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@mashy Thanks, Albert! Out-of-the-box the service uses the latest OpenAI GPT LLM models and the sensitivity of the advanced GPT-4 model is likely to be close to a human expert level in most cases. Of course, to be sure whether it works well enough for a specific domain it would be necessary to try it out and run some tests.
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