MLOps on Azure Databricks with MLflow
Explore MLOps on Azure Databricks with MLflow, focusing on Model Registry, Webhooks, and automated pipelines for effective machine learning model lifecycle management and deployment.
GenAI in Production with MLflow
Explore recent advancements in GenAI application lifecycle management with MLflow in this 20-minute talk by Ben Wilson, Tech Lead of the AI OSS Ecosystem team at Databricks. Discover supported integrations for GenAI application tracking, evaluation, depl…
Quick Deploy Model Serving in Ranking Systems
Discover how to streamline model deployment in ranking systems using ElasticSearch plugins and MLeap bundles for efficient, error-free updates and seamless integration with existing infrastructure.
Building Scalable ML Services for Rapid Development in Health and Wellness
Discover how to build and scale ML services for health and wellness products, reducing release time by 85% using open-source tools like DBT, AirFlow, and MLFlow.
Unlock the Power of MLFlow with Multi-Cloud Compute Infrastructure
Harness MLFlow's potential using multi-cloud compute infrastructure. Learn integration techniques, architectural considerations, and scaling strategies for effective ML training and deployment across clouds.
Complete ML Lifecycle with MLflow - Learn Its Four Components
Explore MLflow's four components to simplify the machine learning lifecycle, from experimentation to production, enhancing reproducibility and accelerating development.
Building an ML Platform from Scratch
Develop a customizable ML platform using open-source tools. Learn to integrate Cookiecutter, DVC, MLFlow, KFServing, and more for a flexible solution tailored to your organization's needs.
Low Latency Neural Network Inference for ML Ranking Applications - Yelp Case Study
Explore Yelp's ML platform overhaul for low-latency neural network inference in ranking applications. Learn about Tensorflow model training, deployment using MLEAP, and integration with Nrtsearch for improved performance.
Introduction to Model Deployment with Ray Serve
Learn to deploy ML models using Ray Serve. Explore Ray Core APIs, create scalable architectures, and integrate with MLflow and FastAPI. Gain hands-on experience in distributed computing and model deployment.
Modern CI/CD Machine Learning Workflows Using Julia
Explore streamlined machine learning workflows in Julia, integrating package development principles and MLflow for robust, reproducible, and scalable model creation and management.
MLOPS
Learn MLOps fundamentals, implementation, deployment, and continuous integration using tools like MLFlow in this comprehensive program.
MLOps Platforms From Zero - Databricks, MLFlow-MLRun-SKLearn
Comprehensive guide to building MLOps platforms using Databricks, AutoML, SKLearn, and AWS. Covers end-to-end process from project setup to model deployment, including CI/CD, experimentation, and containerization.
MLOps with MLFlow: Comparing Microsoft Phi3 Mini 128k in GGUF, MLFlow, and ONNX Formats
Explora el modelo Phi3 Mini 128k en formatos MLFlow, GGUF y ONNX. Compara rendimiento y precisión en diferentes configuraciones. Aprende a implementar y optimizar modelos de lenguaje para diversas plataformas.
MLOps MLFlow: Trabajar con Spacy NLP y Entrenar Modelo NER
Aprende a entrenar un modelo NER personalizado utilizando Spacy y MLflow para optimizar el flujo de trabajo de procesamiento de lenguaje natural.
LLMOps with Langchain, OpenAI, and Databricks - Creating a Retrieval QA Chain
Crea un chain Retrieval QA con Langchain, Faiss y OpenAI. Aprende a salvar componentes en MLFLOW Databricks y realizar inferencias usando la chain creada.
ML and MLOps with Databricks: LLMOps, MLFlow, OpenAI, and Databricks - Spanish
Aprende a utilizar OpenAI GPT-4 como revisor de código, encapsulándolo en un modelo Python de MLflow para implementarlo en una pipeline de Databricks.
ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks - Spanish
Aprende LLMOps con MLFlow y Databricks: implementa y gestiona modelos de lenguaje a gran escala utilizando herramientas de vanguardia en español.
MLOps MLFlow: Deployment Server and Front-End for Interacting with Multiple LLMs
Aprende a instalar y utilizar MLFlow Deployment Server para interactuar con múltiples LLMs, incluyendo OpenAI, Anthropic y Langchain. Demostración práctica y código disponible.
MLOps MLFlow: Mlflow Projects with PySpark Docker Environment and MLflow
Aprende a utilizar MLflow Projects con entornos Pyspark y Docker para gestionar flujos de trabajo de aprendizaje automático de manera eficiente y reproducible.
MLOps MLFlow: MLFlow Projects - Dockerized Environments and MLflow in Spanish
Aprende a crear pipelines de ejecución con MLflow Projects, utilizando Docker y Databricks para logging y tracking en entornos de Machine Learning.
MLOps: Databricks MLFlow y Optuna para Ajuste de Hiperparámetros - Español
Optimiza modelos de machine learning con Databricks, MLflow y Optuna. Aprende técnicas de ajuste de hiperparámetros usando XGBoost en un entorno práctico.