WEBINAR REPLAY

End-to-End Lineage with Amazon SageMaker AI, MLflow & DVC

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.
Mikhail Rozhkov
Mikhail Rozhkov
March 12, 2024
20 minutes read
Running DVC on a SLURM cluster
Learn how Exscientia uses DVC experiments on a cloud-deployed SLURM cluster to scale their ML experimentation.
Dom Miketa
Dom Miketa
March 11, 2024
11 minutes read
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.
Peter Rowlands
Peter Rowlands
January 3, 2024
7 minutes read
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.
Tapa Dipti Sitaula
Tapa Dipti Sitaula
November 16, 2023
3 minutes read
Leveraging LLMs in Chatbots: The DVC Approach
Read how DVC can optimize the development process for chatbots built on Large Language Models.
Ryan Turner
Ryan Turner
September 25, 2023
8 minutes read
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.
Alex Kim
Alex Kim
September 8, 2023
13 minutes read