MLOps: C# Image Recognition with ResNet50v2 Model
Realiza inferencia de reconocimiento de imágenes con ResNet50v2 en C# utilizando Microsoft ML y SixLabors.ImageSharp. Aprende MLOps práctico.
MLOPS: Cómo Trabajar con el CLI de Hugging Face Hub - Español
Aprende a instalar y utilizar el CLI de Huggingface Hub para gestionar modelos y datasets de manera eficiente en proyectos de aprendizaje automático.
Future Open Source LLM Kill Chains - Security Risks and Mitigation Strategies
Explore potential security risks in open-source AI ecosystems, focusing on LLM vulnerabilities and kill chains. Learn mitigation strategies to protect against sophisticated adversaries in the evolving AI landscape.
Security and Privacy in AI Production - Panel Discussion
Explore AI security risks, privacy engineering, and ethical implications with industry experts. Gain insights on balancing utility and privacy in the evolving AI landscape.
Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security - Podcast #190
Explore LLM and NLP API security challenges, threat modeling, and defense strategies. Gain insights on OWASP Top 10 for LLM Applications and the AI Village's 'Hack the Future' event at Defcon31.
AI in Healthcare - Integrating AI Solutions for Patient Engagement and Data Management
Explore AI's impact on healthcare with Eric Landry, discussing patient engagement, data management, and privacy concerns. Learn about benchmarking LLMs and developing innovative solutions to improve health outcomes.
A Very First Look at H2O Hydrogen Torch
Explore H2O Hydrogen Torch: a no-code deep learning tool for diverse AI tasks. Learn its capabilities, experiment as novice and expert, and understand prediction pipelines and deployment options.
AI at Scale: Industrializing ML with Databricks
Learn to industrialize ML applications, accelerate model delivery, and optimize data science workflows while maintaining high governance standards using Databricks Lakehouse platform for enterprise-scale AI solutions.
Implementing MLOps - From Experimentation to Industrialization
Learn best practices for implementing MLOps in global organizations, covering key challenges, engagement models, team structures, and tool requirements for successful productionization of machine learning solutions.
Apache Spark, Data Science, and Machine Learning Advances - Data + AI Summit 2021 Keynote
Explore AI advancements, data science, MLOps, and Databricks Lakehouse Platform innovations. Featuring industry leaders and Bill Nye, this keynote covers MLFlow updates, AutoML, and practical machine learning solutions.
Accelerating MLOps with Apache Spark and SingleStore
Learn to accelerate MLOps using Apache Spark and SingleStore. Discover how to build fast analytical applications, manage supervised learning models, and scale AI/ML operations for data science success.
Building an MLOps Platform with MLflow for Rapid Model Productionalization
Discover how DataSentics built an MLOps platform around MLflow to streamline model productionalization, reducing deployment time to minutes. Learn about real-life experiences, platform demo, and lessons learned.
Scaling AI at H&M - Democratizing and Accelerating AI Usage
H&M's evolving AI platform democratizes and accelerates AI usage across the group, focusing on speed to production, data abstraction, feature store, and pipeline orchestration for efficient model management and development.
State of the Industry - Machine Learning Platforms and MLOps
Explore the state of MLOps and ML platforms with industry leaders, focusing on challenges, common components, and Databricks' approach to unified data analytics and machine learning.
Automate and Deploy Jupyter Notebooks with GitHub Actions - MLOps
Learn to automate and deploy Jupyter notebooks using GitHub Actions, enhancing your MLOps workflow and streamlining the process of productionizing data science projects.
MLOps for Musicians - Akira Shibata
Explore AI's impact on music with Dr. Shibata, covering democratization of data, AI audio plugins, and innovative sound synthesis techniques advancing AI usability in music creation.
Human-Friendly, Production-Ready Data Science with Metaflow - Ville Tuulos
Discover Metaflow, an open-source framework revolutionizing ML workflow creation and deployment. Learn how it empowers data scientists to build and deploy critical ML projects across industries with ease and efficiency.
Start the Machine Learning Lifecycle with MLOps - Learn Live
Discover best practices for managing the machine learning lifecycle using MLOps. Explore collaboration, model creation, monitoring, and incident response in this informative session.
Scale Your Machine Learning Practice and Streamline Collaboration with Azure Machine Learning
Enhance collaboration across IT, data science, and development teams with Azure Machine Learning's latest features for seamless ML lifecycle management and improved organizational efficiency.
Training and Ensuring Reliability of ML Models - The Power of ArgoCD, Flyte, and Argo Workflows
Explore Wolt's approach to reliable ML model training and deployment using ArgoCD, Flyte, and Argo Workflows. Learn strategies for scalability, consistency, and collaboration in ML operations.
A MLOps Platform for All Data Personas
Explore IKEA's journey in developing a custom MLOps platform that addresses diverse data personas, standardizes model development, and leverages open-source components for efficient AI/ML productionization.