Full series information: https://aka.ms/learnlive-202302FT
More info here: https://aka.ms/learnlive-202302FT-Ep2
Follow on Microsoft Learn:
– Session documentation: https://aka.ms/learnlive-2023228AFT
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.
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Chapters
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00:00 – Introduction
02:11 – Learning Objectives
04:01 – Learn Live Collection
04:55 – Azure OpenAI Overview
11:24 – Use cases & Capabilities
23:16 – Why Azure OpenAI
33:44 – Azure OpenAI models
40:18 – Demo: Azure OpenAI Playground
51:31 – Prompts & Completions, Tokens, and Deployments
58:47 – Azure OpenAI Deep Dive
59:58 – Prompt Design – Do’s & Don’ts
1:13:20 – Embeddings
1:14:13 – Demo: Embeddings
1:17:50 – Fine-tuning
1:19:50 – Demo: Simple App using Azure OpenAI
1:22:30 – Demo: Advanced Q&A App using Embeddings
1:26:36 – Summary
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Presenters
Kris Bock
Machine Learning/Data Science, Azure FastTrack Engineering
Microsoft
– LinkedIn: https://www.linkedin.com/in/krisbock/
Sriram Subramanian
Principal Software Engineer
Microsoft
– LinkedIn: https://www.linkedin.com/in/sriramhere/
Moderators
Neeraj Jhaveri
Senior FastTrack Engineer
Microsoft
– LinkedIn: https://www.linkedin.com/in/neerajjhaveri/
