October was a big month for the ML industry, with more momentum than ever behind spooky-good models and novel applications. And it was a big month for Baseten, as we launched a ton of features.
Video: Stable Diffusion and Truss
Video: Build user-facing apps using Python in the front end
Blog: Deploy OpenAI Whisper in 5 minutes
Link: After a quarter-million images on the original, a new Stable Diffusion demo running version 1.5 of the model
Powerful open-source models like Stable Diffusion and Whisper have driven a new wave of interest in AI and ML, with builders around the internet creating exciting demos and promising products. You can use these and dozens of other open-source models in Baseten to build ML-powered apps.
Whisper model page
On our public model explore page, you can learn how to deploy and use models with revitalized READMEs that take you from deployment to invocation in seconds. New READMEs include invocation instructions, sample input and output, configuration notes, and use case ideas.
And if you’re interested in more advanced use cases for powerful models like these, reach out to Abu to learn more about our upcoming projects in this space.
Briefly, this integration works by wrapping your MLflow model in a pyfunc object, which is used in the Truss’ predict function. You can learn more in the Truss docs. Or, try it for yourself with this Google Colab notebook.
This month we welcomed Zack, a software engineer, who joined us from Amazon Prime Video. And colleagues old and new traveled to Mexico City at the end of October for an offsite full of food, fun, friends, and foundational work on our product and operations. We’d love to have you along at the next one, and we are actively hiring for a Lead ML Engineer and an Account Executive.
This week, keep an eye on our Twitter … we’ve been building so much we’ll be publishing a new changelog daily for the rest of the week. And even more models, applications, and community stories are coming in November.
The team at Baseten