A Practical Guide to Large Language Models in Azure and Azure OpenAI
Overview
Learn about implementing Large Language Models (LLMs) in Azure during this 45-minute tech talk delivered by Microsoft Senior ML Architect Hossein Sarshar. Explore the evolution of machine learning, understand the significance of foundation models and GPT architectures, and gain practical insights into Azure OpenAI's features and implementation details. Discover design considerations, fine-tuning techniques, and embedding search capabilities while learning how to operationalize open-source LLM models on Azure. Master the process of selecting appropriate models, understand GPT-4 use cases, and explore integration strategies for making machine learning more accessible. Gain comprehensive knowledge about Azure OpenAI's capabilities and practical applications in real-world scenarios.
Syllabus
Intro
What are LLMs
History of ML
Why LLMs are important
Foundation models
GPT models
GPTx models
Azure OpenAI example
Design considerations
Finetuning
Embedding
Search
Questions
Why OpenAI
Choosing the best model
Pause
GPT4 use cases
How easy is it to integrate
How does OpenAI use ML
How to make ML simpler
Taught by
AICamp