Developer Advocate
About
Rachel Rapp is a developer advocate and content manager. Her goal is to help break down barriers to effective AI use by making technical concepts and tools accessible to broader audiences. Before joining Baseten in 2024, she spent several years doing research at the intersection of machine learning and neuroscience. Originally from a small town in Michigan, nowadays you can find her in Germany with her husband and crew of former-Romanian-street pets.
We added three new observability features for improved monitoring and debugging: an activity log, LLM metrics, and customizable metrics dashboards.
Our new Speculative Decoding integration can cut latency in half for production LLM workloads.
At Baseten, we've built the most performant (1000x real-time factor), accurate, and cost-efficient speech-to-text pipeline for production AI audio transcription
Deploy production-ready model servers on Baseten directly from any Docker image using just a YAML file.
Test and deploy ML models reliably with production-ready custom environments, persistent endpoints, and seamless CI/CD.
Our canary deployments feature lets you roll out new model deployments with minimal risk to your end-user experience.
Baseten is now on Google Cloud Marketplace, empowering organizations with the tools to build and scale AI applications effortlessly.
Baseten Hybrid is a multi-cloud solution that enables you to run inference in your cloud—with optional spillover into ours.
