Baseten Blog | Page 12
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.
New in July: A seamless bridge from model development to deployment
We've launched Truss, an OSS Python package for model serving and deployment. Baseten users have been using it unknowingly, now offering new capabilities.
New in June: Full-stack superpowers
Excited to highlight this month's major strides in empowering data scientists to create and maintain full-stack applications with real value.
