Deploy Stable Diffusion XL 1.0 for free to generate images from text prompts and invoke Stable Diffusion with the Baseten Python client.
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.
Autoscaling is the ability of your machine learning model to automatically spawn more replicas or terminate replicas in response to the amount of incoming traffic. Baseten employs a robust series of autoscaling features, including scale to zero and cold starts.
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
Prompt engineering, embeddings, vector databases, and fine-tuning are ways to adapt Large Language Models (LLMs) to run on your data for your use case
See hackathon projects from Baseten for ML infrastructure, inference, user experience, and streaming
Deploy Falcon-40B and Falcon-7B, top-ranked open-source LLMs on HuggingFace, to Baseten's production-ready ML infrastructure.
An explanation of how Baseten's model library works for deploying and serving popular open-source models.