GitOps Best Practices: DVC Studio Model Registry for ML Development Share: Download MP3 Similar Tracks Great Practices for Retrieval Augmented Generation (RAG) in Production DVCorg MLOps Tutorial #3: Track ML models with Git & GitHub Actions DVCorg Applying GitOps Principles at Every Step of an E2E MLOps Project - A Workshop DVCorg Guide to Configuring Red Hat OpenShift AI (RHOAI) for Model Deployment Red Hat Research Front End System Design Fundamentals (All In One Comprehensive Guide) Shivam Bhalla GitLab CI/CD Pipeline Tutorial for Beginners Valentin Despa DataChain Open-Source Release - A new way to manage your Unstructured Data DVCorg Achieving Production-level Performance in RAG with DSPy, Parea, and DVC DVCorg Machine Learning Experimentation with DVC and VS Code DVCorg Transformers (how LLMs work) explained visually | DL5 3Blue1Brown Streamlit Crash Course: From Zero to Data App Streamlit How to use Microsoft Power Query Kevin Stratvert Data Versioning in Generative AI: A Pathway to Cost-effective ML + Demo DVCorg Computer Vision Data Annotation & Preparation Using DVCx DVCorg Open Source Observability Explained - The Grafana Stack Grafana Versioning Data with DVC (Hands-On Tutorial!) DVCorg How to Deploy ML Solutions with FastAPI, Docker, & AWS Shaw Talebi 3. Apache Kafka Fundamentals | Apache Kafka Fundamentals Confluent GitLab Model Registry Demo: creating and packaging an Machine Learning model GitLab Unfiltered