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After a simple 5 minutes long scraping session, the system is already capable of answering questions it had no idea how to answer at the primary website for ChatGPT. Not spectacularly good numbers, but I suspect with larger websites, creating more training data, it would result in a higher success ratio. In addition, the "reinforcement training parts" allows for supervising the model's questions and answers, allowing human beings to monitor its questions and answers, and such over time incrementally improve its answers rapidly, by "sanity checking" its questions and answers.
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The last 4 weeks, I've literally done nothing that's not related to ChatGPT - But I assume that's true for most of us. A couple of days ago I released a new version of Aista Magic Cloud, allowing users to scrape their website(s), or any other website for that matter, to generated training data from the site. This allows me to create a "custom ChatGPT model", where the model should be at least in theory able to answer intelligently according to how you would want it to answer. Basically ...
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.