Episode
FastTrack for Azure Season 2 Ep02: Azure OpenAI: Introduction to Language Models and Applications
with Kris Bock, Sriram Subramanian, Neeraj Jhaveri
This live session will introduce Azure OpenAI, discuss the different language models available, and demonstrate how these models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Presenters will demonstrate how users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.
Learning objectives
- Introduction to Azure OpenAI, different language models available, and how these models can be easily adapted to your specific task.
- Demonstrate how users can access the service through REST APIs, Python SDK, or web-based interface in the Azure OpenAI Studio.
Chapters
- 00:00 - Introduction
- 02:09 - Learning Objectives
- 03:59 - Learn Live Collection
- 04:53 - Azure OpenAI Overview
- 11:22 - Use cases & Capabilities
- 23:14 - Why Azure OpenAI
- 33:42 - Azure OpenAI models
- 40:16 - Demo: Azure OpenAI Playground
- 51:29 - Prompts & Completions, Tokens, and Deployments
- 58:45 - Azure OpenAI Deep Dive
- 59:56 - Prompt Design - Do's & Don'ts
- 01:13:18 - Embeddings
- 01:14:11 - Demo: Embeddings
- 01:17:48 - Fine-tuning
- 01:19:48 - Demo: Simple App using Azure OpenAI
- 01:22:28 - Demo: Advanced Q&A App using Embeddings
- 01:26:34 - Summary
Recommended resources
Related episodes
- Full series: Learn Live: FastTrack for Azure Season 2
Connect
- Kris Bock | LinkedIn: /in/krisbock
- Sriram Subramanian | LinkedIn: /in/sriramhere
- Neeraj Jhaveri | LinkedIn: /in/neerajjhaveri
This live session will introduce Azure OpenAI, discuss the different language models available, and demonstrate how these models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Presenters will demonstrate how users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.
Learning objectives
- Introduction to Azure OpenAI, different language models available, and how these models can be easily adapted to your specific task.
- Demonstrate how users can access the service through REST APIs, Python SDK, or web-based interface in the Azure OpenAI Studio.
Chapters
- 00:00 - Introduction
- 02:09 - Learning Objectives
- 03:59 - Learn Live Collection
- 04:53 - Azure OpenAI Overview
- 11:22 - Use cases & Capabilities
- 23:14 - Why Azure OpenAI
- 33:42 - Azure OpenAI models
- 40:16 - Demo: Azure OpenAI Playground
- 51:29 - Prompts & Completions, Tokens, and Deployments
- 58:45 - Azure OpenAI Deep Dive
- 59:56 - Prompt Design - Do's & Don'ts
- 01:13:18 - Embeddings
- 01:14:11 - Demo: Embeddings
- 01:17:48 - Fine-tuning
- 01:19:48 - Demo: Simple App using Azure OpenAI
- 01:22:28 - Demo: Advanced Q&A App using Embeddings
- 01:26:34 - Summary
Recommended resources
Related episodes
- Full series: Learn Live: FastTrack for Azure Season 2
Connect
- Kris Bock | LinkedIn: /in/krisbock
- Sriram Subramanian | LinkedIn: /in/sriramhere
- Neeraj Jhaveri | LinkedIn: /in/neerajjhaveri
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