- Module 1: Learn about the history of natural language processing (NLP), including how the Transformer architecture revolutionized the field and helped us create large language models (LLMs). Work with LLMs in Azure Machine Learning through the foundation models in the model catalog.
By the end of this module, you'll be able to:
- Understand the developments that have led to large language models.
- Explore the different types of foundation models available in the model catalog.
- Deploy and test a foundation model.
- Module 2: Learn how to fine-tune a foundation model from the model catalog in Azure Machine Learning.
By the end of this module, you'll be able to:
- Explore foundation models in the model catalog.
- Fine-tune a foundation model using the Azure Machine Learning studio.
- Evaluate and deploy a fine-tuned model using the Azure Machine Learning studio.
Work with generative artificial intelligence (AI) models in Azure Machine Learning
Overview
Syllabus
- Module 1: Module 1: Understand the Transformer architecture and explore large language models in Azure Machine Learning
- Introduction
- Understand statistical techniques used for natural language processing (NLP)
- Understand the deep learning techniques used for natural language processing (NLP)
- Understand the transformer architecture used for natural language processing (NLP)
- Explore foundation models in the model catalog
- Exercise - Explore foundation models in the model catalog
- Knowledge check
- Summary
- Module 2: Module 2: Fine-tune a foundation model with Azure Machine Learning
- Introduction
- Understand when to fine-tune a foundation model
- Explore fine-tuning foundation models in Azure Machine Learning
- Evaluate, deploy, and test a fine-tuned foundation model
- Exercise - Fine-tune a foundation model
- Knowledge check
- Summary
Tags
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