Episode
Microsoft Learn AI Skills Challenge Ep04: Work with generative AI model in Azure AI Studio
with Mary-Jo Diepeveen, Korey Stegared-Pace, Shivam Goyal
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. Then, train a pretrained Large Language Model (LLM) on specific tasks. The model catalog in Azure Machine Learning offers many open source models that can be fine-tuned for your specific task.
Learning objectives
- 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.
- 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.
Chapters
- 00:00 - Introduction
- 02:00 - Microsoft Learn AI Skills Challenge
- 04:29 - Learning objectives
- 07:26 - Understand the Transformer architecture and explore Large Language Models
- 13:24 - Understand statistical techniques used for natural language processing (NLP)
- 33:14 - Explore foundation models in the model catalog
- 47:29 - Understand when to fine-tune a foundation model
- 54:20 - Demo
- 01:13:00 - Knowledge check
- 01:27:10 - Summary
Recommended resources
Related episodes
- Full series: Learn Live: Microsoft Learn AI Skills Challenge
Connect
- Mary-Jo Diepeveen | LinkedIn: /in/maryjodiepeveen
- Korey Stegared-Pace | Twitter: @koreyspace | LinkedIn: /in/koreypace
- Shivam Goyal | LinkedIn: /in/shivam2003
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. Then, train a pretrained Large Language Model (LLM) on specific tasks. The model catalog in Azure Machine Learning offers many open source models that can be fine-tuned for your specific task.
Learning objectives
- 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.
- 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.
Chapters
- 00:00 - Introduction
- 02:00 - Microsoft Learn AI Skills Challenge
- 04:29 - Learning objectives
- 07:26 - Understand the Transformer architecture and explore Large Language Models
- 13:24 - Understand statistical techniques used for natural language processing (NLP)
- 33:14 - Explore foundation models in the model catalog
- 47:29 - Understand when to fine-tune a foundation model
- 54:20 - Demo
- 01:13:00 - Knowledge check
- 01:27:10 - Summary
Recommended resources
Related episodes
- Full series: Learn Live: Microsoft Learn AI Skills Challenge
Connect
- Mary-Jo Diepeveen | LinkedIn: /in/maryjodiepeveen
- Korey Stegared-Pace | Twitter: @koreyspace | LinkedIn: /in/koreypace
- Shivam Goyal | LinkedIn: /in/shivam2003
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