Dr. Nick Ball is a generalist data scientist who joined Paperspace in November 2020. He has been using machine learning since 2000, first in academia (astrophysics), then in Silicon Valley since 2013.
In this post, readers will see how to implement a decision transformer with OpenAI Gym on a Gradient Notebook to train a hopper-v3 "robot" to hop forward over a horizontal boundary as quickly as possible.
Follow this guide to learn how to set up and use GPT-NeoX-20B within Paperspace Gradient to generate text in response to an inputted prompt.
Follow this guide to see how to run distributed training with TensorFlow on Gradient Multi-GPU powered instances!
This guide demonstrates what the Gradient Deployments resource is capable of, and provides a succinct guide to creating your own deployment and interacting with it using Workflows.
How to use Gradient Workflows in production to update a dataset in cloud storage.
This is a guide for using StyleGAN2 with Gradient Workflows to generate novel images.
In this article, we discuss how to run Gradient Workflows with GPT-2 to generate novel text.
In this final part of the six-part series, we recap the main points from the series, and point to next steps, both for this work in terms of other things that Gradient can do, and for the reader who would like to learn more.
In the fifth part of this six-part series, we will show how to deploy the model using Gradient Workflows and its integration with TensorFlow Serving.
