From the blog

Guidepad's ML plugin simplifies distributed training of ML models through Experiment tracking.

Guidepad's operation abstraction enables standardization, re-use, and portability of distributed functions across environment boundaries.

This demo showcases the capabilities of our embeddings service. This notebook will interact with a set of APIs we offer, showing that the embeddings service can be utilized by any downstream application with internet access, or any user with their preferred programming language.

Let's explore how we can leverage our REST API to save documents, compute document embeddings using a combination of pretrained open-source language models, and generate custom embeddings for your documents.

The guidepad-ML plugin is an extension of the guidepad platform that helps users with their end-to- end ML lifecycle.