Baseten Blog | Page 12
Accelerating model deployment: 100X faster dev loops with development deployments
Baseten's development deployments speed up ML model dev loops, replacing slow workflows with a live reload system for quick, seconds-long testing updates.
New in October: Find community with The DSC
October was a big month for the ML industry, with more momentum than ever behind spooky-good models and novel applications
Build with OpenAI’s Whisper model in five minutes
Deploy OpenAI Whisper for free on Baseten instantly from our model library. Or stick around to learn how to package and deploy Whisper with Truss.
New in September: Increasing flexibility and robustness
The state of cutting-edge open-source ML models, a more flexible interface for invoking models, and robust application development workflows
How to deploy Stable Diffusion using Truss
Explore deploying the open-source Stable Diffusion model by Stability AI on Baseten. This walkthrough details the deployment process for those interested.
New in August: Deploy, deploy, deploy
In August, we focused on model deployment, from basic classifiers to advanced Stable Diffusion image generators, as a key step in realizing ML's business value.
StartupML AMA: Daniel Whitenack
Meet Daniel, Data Scientist and founding data science team member at SIL
StartupML AMA: Nikhil Harithas
Meet Nikhil, Machine Learning Engineer at Patreon and early data team expert
Why we built and open-sourced a model serving solution
Truss, our open-sourced bridge for model development to deployment, saves time for data scientists and ML engineers on MLOps tasks in model serving.
