Machine learning infrastructure that just works
Baseten provides all the infrastructure you need to deploy and serve ML models performantly, scalable, and cost-efficiently.
All-new model management, a text embedding model that matches OpenAI, and misgif, the most fun you’ll have with AI all week.
Mistral 7B LLM, GPU comparisons, model observability features, and an open source AI event series
The latest version of Truss brings new solutions for the most common pain points in packaging and serving ML models. Plus, learn how to optimize Stable Diffusion XL inference to run in as little as 3 seconds and build your own open-source version of ChatGPT with Llama 2 and Chainlit.
Llama 2 and SDXL shake up foundation model leaderboards (plus: Langchain, autoscaling, and more)
AI infrastructure, ML infrastructure, build vs. buy, model deployment
An in-depth look at open source foundation models, both LLMs and image models: Llama 2 from Meta and Microsoft, FreeWilly1 and FreeWilly2 from Stability AI, SDXL 1.0 (Stable Diffusion XL) also from Stability AI, LayoutLM Document QA from Inspira, and NSQL 350M from Number Station.
An in-depth look at open source foundation models, primarily LLMs. Falcon-7B and Falcon-40B from TII, WizardLM from Microsoft and Peking University, MusicGen from Meta, and MPT-7B from Mosaic.
LangChain adds Baseten integration, Falcon soars to the top of the LLM leaderboard