Machine Learning
Enforcing JSON Outputs in Commercial LLMs
The results of our tests on the structured outputs of Google Gemini Pro, Anthropic Claude, and OpenAI GPT. DataChain used for evaluation.
Announcing DataChain
Introducing DataChain - a new open-source tool to curate and process unstructured data using local ML models, and LLM calls.
Dataset Factory - A Toolchain for Generative Computer Vision Datasets
Learn about our latest approach to mastering your Unstructured Data and metadata.
Tutorial: Scalable and Distributed ML Workflows with DVC and Ray on AWS (Part 2)
Need to setup DVC to work with Ray Cluster on AWS? This tutorial has you covered!
Tutorial: Scalable and Distributed ML Workflows with DVC and Ray (Part 1)
This tutorial introduces you to integrating DVC (Data Version Control) with Ray, turning them into your go-to toolkit for creating automated, scalable, and distributed ML pipelines.
Instant Experiment Tracking: Just Add DVC!
Experiment tracking in DVC with a few lines of Python.
Building a GitOps ML Model Registry with DVC and GTO
Got your data and model versioning down? ✅ Learn how to take your projects to the next level by creating a model registry right in your project's Git repo
Deploy ML models to k8s and SageMaker with a single line of code
MLEM takes the evil configs out of Kubernetes and SageMaker to make your life easier just in time for Halloween 🎃
Productionize your models with MLEM in a Git-native way
Introducing MLEM - one tool to run your models anywhere.