Turn Your Favorite IDE into a Full Machine Learning Experimentation Platform
DVC extension enables you to run, track and manage ML experiments without leaving VS Code.
Leveraging LLMs in Chatbots: The DVC Approach
Read how DVC can optimize the development process for chatbots built on Large Language Models.
Fine-Tuning Large Language Models with a Production-Grade Pipeline
This post describes a production ML pipeline for fine-tuning large language models using DVC, SkyPilot, HuggingFace Transformers, and quantization techniques.
Automate model deployment to Amazon SageMaker with the DVC Model Registry
DVC provides a Git-based mechanism to automate model deployment from an intuitive web UI.
The DVC 3.0 Stack: Beyond the Command Line
DVC 3.0 introduces a stack of tools outside the command line to bring it closer to
where you work (in code, IDE, web) while also focusing on DVC fundamentals.
Managing OpenFOAM Physical Simulations with DVC, CML, and Studio (Part 2)
In this second part, we discuss how to utilize cloud computing resources and visualize simulation data with CML and Iterative Studio.
Testing external contributions using GitHub Actions secrets
Learn how to test open source contributors' pull requests using GitHub Actions secrets, securely.
Managing OpenFOAM Physical Simulations with DVC, CML, and Studio (Part 1)
In the first part of the series we learn how to use DVC for OpenFOAM simulation experiments and data management.
Automate Your ML Pipeline: Combining Airflow, DVC, and CML for a Seamless Batch Scoring Experience
This tutorial shows you how to supercharge your batch scoring workflow by harnessing the power of Aiflow, DVC and CML.