Configure and deploy your own private, hosted API endpoints to process text, images, and other data using state-of-the-art machine learning in a few clicks. Chain together one or more models to efficiently process and extract insights from your data.
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Congratulations on launch @strongbrock@jacob_zweig ! This looks great!
Apart from a few hiccoughs while signing up (Github & Twitter OAuth seem to be broken?), it was a very smooth experience. I was able to create a few different endpoints in ~10 mins and get up and running. This would come very handy for quick prototypes and POC apps.
After playing around for a while, I wanted to try out a custom model, but it just showed a text form. Are you planning to make adding custom Models easier as well?
Thanks @sushdagr8 – we're working on fixing those OAuth issues – apologies for the inconvenience! I'd love to understand what kind of custom models you're hoping to use – we're working on making this easier but can help out directly for now. Feel free to shoot me a DM or ping me on twitter @jacobzweig
At Strong Analytics we build and deploy machine learning applications every day, and we see first hand the complexity of integrating AI into products. With Pretrained, we wanted to make it easier for makers, engineers, and hackers to build ML products without having to worry about the details of building and scaling machine learning pipelines and handling ML Ops. Pretrained is more cost effective than deploying your own solution and is more accurate than the competition. But don't just take it from us...
“At Readerly, we were using AWS Comprehend to analyze book review sentiment from professional critics, but found it difficult to customize and adapt to our needs. We migrated from Comprehend to Pretrained and have never looked back! Pretrained’s sentiment analysis outperformed all others we tested, and offered much more competitive pricing.”
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