Machine Learning-powered Retool apps?

[vsreekanti]

Hi everyone!

I'm doing some research into Retool apps that are consuming inferences made from machine learning models. In particular, we're interested in applications where someone your team is making a decision that's being aided/augmented by the ML model (but we're interested in learning about other applications of ML as well). If you're working on something like this, I'd love to have a quick conversation to learn more and pick your brains. Thanks in advance!

Vikram

[Sandeep]

Activity on ML is pretty dry. Here is a post I put some time ago. I guess I can understand how you are consuming ML models that will also help me.

Retool dashboard with Machine Learning

Are there any working examples of Retool's integration with Amazon SageMaker or such ML tools? I am trying a dry example but it will take few more days where I am planning to call SageMaker Notebook Inference as AWS lambda. But I think it will incur twice the cost from AWS (one for Lambda and one for SageMaker inference execution). So directly calling SageMaker endpoint will make sense. Any inputs from the community on this is highly appreciated.

[Francisco_Costa]

Did you consider using local models? For example tensorflow has tflite, a package to compress models so they can run locally in the mobile phone. That would avoid serving and communication costs and also get you a lower latency from the model.

[Tess]

Thanks for re-surfacing, @Francisco_Costa!