Using AWS SageMaker to Train a Model to Generate Text (Part 1)

If you’ve followed any of my recent posts, you’ll know I have been using RNN models to generate text from a model trained with my previous tweets, and the text from all of my previous posts, and feeding this into a Twitter bot: @kevinhookebot.

The trouble I have right now is the scripts and generate models are running using Lua, and although I could install this to an EC2 instance, I don’t want to pay for an EC2 instance being up 100% of the time. Currently, when I generate a new batch of text for my Twitter bot, I start up a local server running the scripts and the model, generate new text, and then stage it to DynamoDB to get picked up by the bot when it’s scheduled to next run. With the AWS provided Machine Learning services, there has to be something out of the box I can use on AWS that would automate these steps.

Source de l’article sur DZONE (AI)