See our latest feature releases, product improvements and bug fixes
Oct 1, 2022
As a data scientist, you can do a lot with Python: train models, build servers, write scripts. Now, in the Baseten app builder, you can do something special with Python: build dynamic front-end web...
Sep 28, 2022
By default, when you deploy a model to Baseten, like in this XGBoost classifier example , the deployed model expects to receive a dictionary with the key inputs and a list of input values, and will...
Sep 22, 2022
Where did I leave that cutting-edge machine learning model? Never lose track of your application resources again with full workspace search. Just type Command-k (Ctrl-k on Windows) or click the...
Sep 7, 2022
This week, a feature for workspaces that use our starter or business plans: back up your Baseten apps to GitHub. Paired with the draft environment , this gives you a safety net while developing your...
Aug 30, 2022
Watching code build is the digital equivalent of watching paint dry. Model deployment on Baseten generally runs in less than five minutes, but that's enough time to: Make yourself a cup of coffee...
Aug 23, 2022
The word “secret” is derived from Latin, secreto , which literally translates to “don’t store your API keys and AWS access tokens in your source code.” Amazing what insights linguistics offers! For...
Aug 16, 2022
The model deployment modal is gone, replaced with a full page of instructions to help you check off the prerequisite steps then deploy your model to Baseten with confidence. Dynamic examples across...
Aug 12, 2022
The new pre-trained model exploration page showcases more than twenty pre-trained models that can be deployed and immediately used in your Baseten applications or called via API requests. Find a...
Aug 4, 2022
Baseten’s model deployment stack runs on Truss , our open-source library for model serving. Any model framework supported by Truss is also supported in the Baseten CLI. As such, the Baseten Python...
Jul 16, 2022
Baseten’s data explorer in the view builder helps you take your ML-powered project from “web page” to “web app.” But the concepts introduced in the data explorer are clearly centered in front-end...
