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    DVC AI Blog

    Find here DVC AI 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.
    • Mikhail Rozhkov
    • Jan 19, 202410 min 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
    • Jan 03, 20245 min 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
    • Nov 16, 20232 min 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
    • Sep 25, 20236 min read
    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.
    • Jeny De Figueiredo
    • Sep 19, 20232 min 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
    • Sep 08, 202310 min read
    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.
    • Tapa Dipti Sitaula
    • Aug 30, 20236 min read