MLflow AI Gateway Explained | Manage API Keys, Failover, Traffic Split & Multi-LLM Endpoints скачать в хорошем качестве

MLflow AI Gateway Explained | Manage API Keys, Failover, Traffic Split & Multi-LLM Endpoints

MLflow AI Gateway is one of the most powerful but underused features in modern LLMOps. In this video, I demonstrate how MLflow AI Gateway allows you to manage LLM providers just like models and prompts — with proper infrastructure-level control. You will learn how to: • Create unified endpoints for multiple LLM providers • Manage API keys securely without hardcoding • Configure failover models automatically • Split traffic across multiple models • Route requests across providers like OpenAI and others • Build production-grade LLM infrastructure This is essential knowledge if you're building real-world GenAI systems. Instead of directly calling providers like OpenAI, MLflow AI Gateway gives you a clean abstraction layer that makes your systems: • More reliable • More secure • Easier to scale • Easier to maintain This video includes a complete working demo. Perfect for: • ML Engineers • AI Engineers • LLMOps Engineers • Backend Engineers working with GenAI • Anyone deploying LLM applications If you're serious about production-grade AI systems, MLflow AI Gateway is a must-know tool. Subscribe for more real-world AI engineering content. GitHub code and full tutorials coming soon. #mlflow #llmops #genai #machinelearning #aiengineering