New in September: Increasing flexibility and robustness

The field of machine learning has seen significant advancements, with models like Stable Diffusion and Whisper setting new benchmarks for capabilities. This surge in adoption highlights the importance of MLOps (Machine Learning Operations) to ensure successful product development and deployment. To facilitate this, Baseten provides flexible interfaces for ML models, allowing users to set their own model interface for specific use cases. Additionally, the platform offers robust application development workflows, including the ability to back up applications to GitHub, which enables best practices for development and confidence in making changes to production apps. The team at Baseten continues to innovate with new features and hires, aiming to support users in building innovative products and services around AI.

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