The Complete Guide to Azure for Large Language Models: Deployment, Management, and Best Practices
Table of Contents Introduction Understanding LLMs and Azure’s Role Azure Machine Learning for LLMOps The LLM Lifecycle in Azure Data Preparation and Management Model Training and Fine-Tuning Deploying LLMs on Azure Advanced Techniques: RAG and Prompt Engineering Best Practices for LLM Deployment Monitoring and Management Resources and Further Learning Conclusion Introduction Large Language Models (LLMs) have revolutionized artificial intelligence, enabling organizations to build sophisticated generative AI applications that understand and generate human-like text. However, deploying and managing LLMs at scale requires more than just powerful models—it demands robust infrastructure, careful orchestration, and operational excellence. This is where LLMOps (Large Language Model Operations) comes into play, and Azure Machine Learning provides the comprehensive platform to make it all possible. ...