New Release! The DVC 3.0 Stack: Beyond the Command Line
Product updates, news, tutorials, integrations, and deep dives.
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.
Organize Your Storage with DVC Cloud Versioning
DVC cloud versioning makes it easy to take full advantage of your cloud
provider’s built-in versioning capabilities.
Real-time visualization of Computer Vision model training with DVC and Iterative Studio
Save time and resources by tracking your deep learning experiments in real-time with DVC and Iterative Studio.
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.
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.
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.
MLEM + Modal + nanoGPT
Train and deploy your own GPT model in 2 easy steps!
Deploy Computer Vision Models Faster and Easier
One command to serve CV models from your laptop in the cloud 🚀
January '23 Heartbeat
Monthly updates are here! Great content from the Community, including a new tutorial video on MLEM and shout out from Tryolabs for MLEM, great new tutorial on DVC, Casper da Costa-Luis' video on CML from MLOps Summit and more! Happy 2023!
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.
Real-time visualization of Computer Vision model training with DVC and Iterative Studio
Save time and resources by tracking your deep learning experiments in real-time with DVC and Iterative Studio.
December '22 Heartbeat
Monthly updates are here! Great content from the Community, including a DVC extension for VS Code tutorial, sweet MLOps guide, framework agnostic ml pipeline with DVC and non-Python apps to integrate ML models with MLEM. Welcome to December!
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.
Instant Experiment Tracking: Just Add DVC!
Experiment tracking in DVC with a few lines of Python.
July '22 Heartbeat
What a couple months it's been! This month you will find lots that's happening in IRL conferences again and in case you missed it, we've had some new, exciting releases! In addtion you'll find a guide to migrate from Git-LFS to DVC, the first Community piece on MLEM, and demo videos. Welcome to July!
Moving Local Experiments to the Cloud with Terraform Provider Iterative (TPI) and Docker
Tutorial for easily running experiments in the cloud with the help of Terraform Provider Iterative (TPI) and Docker.
May '22 Heartbeat
Monthly updates are here! You will find a link to Chip Huyen's new book, great guides and frameworks on the iterative nature of AI, tons of company news, Dmitry on TFIR, beyond machine learning use cases and more! Welcome to May!
Moving Local Experiments to the Cloud with Terraform Provider Iterative (TPI)
Tutorial for easily moving a local ML experiment to a remote cloud machine with the help of Terraform Provider Iterative (TPI).
