Identify the foundational concepts of generative AI: Describe the differences between AI models, including fine-tuned and pretrained models

Build evidence for this objective

Learn the concept across structured materials, then test it through adaptive questions and applied scenarios. Your results contribute to an objective-level mastery view and your next recommended action.

Official references

• Fine-tune language models with Azure Databricks
• Understand the Transformer architecture and explore large language models in Azure Machine Learning
• Introduction to large language models
• Create DAX calculations in semantic models
• Describe concepts of cryptography
• Train and track machine learning models with MLflow in Microsoft Fabric
• Describe security and compliance concepts
• Train and evaluate classification models
• Use prebuilt Document intelligence models
• Train and evaluate deep learning models