Iterative Blog
Find here DataChain and DVC news, findings, interesting reads, community takeaways, deep dive into machine learning workflows from data versioning and processing to model productionization.
Tutorial: Automate Data Validation and Model Monitoring Pipelines with DVC and Evidently
Ensuring your machine learning models remain precise and efficient as time progresses, and verifying that your data consistently reflects the real-world scenario.
Integrating DVC and Git LFS via libgit2 filters
Read about how we built a Python Git LFS client to support integrating
projects which use Git LFS into your DVC workflow.
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.
Achieving SOC 2 Type 2 Compliance - Our Continued Commitment to Data Security
We are proud to announce the next milestone in our SOC 2 journey.
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.