Software Engineer

Sid Shanker

Product

New observability features: activity logging, LLM metrics, and metrics dashboard customization

We added three new observability features for improved monitoring and debugging: an activity log, LLM metrics, and customizable metrics dashboards.

4 others
Product

Create custom environments for deployments on Baseten

Test and deploy ML models reliably with production-ready custom environments, persistent endpoints, and seamless CI/CD.

3 others
Product

Introducing canary deployments on Baseten

Our canary deployments feature lets you roll out new model deployments with minimal risk to your end-user experience.

3 others
News

Introducing Baseten Chains

Learn about Baseten's new Chains framework for deploying complex ML inference workflows across compound AI systems using multiple models and components

4 others
Hacks & projects

CI/CD for AI model deployments

In this article, we outline a continuous integration and continuous deployment (CI/CD) pipeline for using AI models in production.

3 others
ML models

Stable Video Diffusion now available

Stability AI announced the release of Stable Video Diffusion, marking a huge leap forward for open source novel video synthesis

Hacks & projects

GPT vs Llama: Migrate to open source LLMs seamlessly

Use ChatCompletions API to test open-source LLMs like Llama in your AI app with just three minor code modifications.

ML models

Deploy Falcon-40B on Baseten

Deploy Falcon-40B and Falcon-7B, top-ranked open-source LLMs on HuggingFace, to Baseten's production-ready ML infrastructure.

Machine learning infrastructure that just works

Baseten provides all the infrastructure you need to deploy and serve ML models performantly, scalable, and cost-efficiently.