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Azure OpenAI: Generative AI Models and How to Use Them

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OpenAI’s revolutionary models are disrupting the tech scene in many ways. Every day, more and more people are talking about OpenAI, in awe of the capabilities it has. It’s important to understand how this service works, what the dangers are, and most importantly, how you can use it to simplify your life or enhance your business. In this course, instructor Sammy Deprez introduces you to Azure OpenAI services and dives into the models that are available, including GPT models, embedding models, codex models, and DALL-E models. Sammy explains what each model type is and how it works, and he offers recommendations on the best way to use it. Plus, he discusses copyright issues and goes over how to combine models and start building your own solutions.


01 - Introduction
  • 01 - Welcome
  • 02 - What you should know

  • 02 - 1. Introduction to Azure OpenAI Service
  • 01 - What is Azure OpenAI
  • 02 - Azure OpenAI vs. OpenAI Service
  • 03 - Getting access to the service
  • 04 - Deploying Azure OpenAI Service
  • 05 - A tour of the Azure OpenAI Studio
  • 06 - What kind of models are available

  • 03 - 2. GPT Models
  • 01 - How do they work
  • 02 - What can they do
  • 03 - Which model should I choose

  • 04 - 3. Embedding Models
  • 01 - Prompt engineering How and what
  • 02 - What are embeddings
  • 03 - Model capabilities
  • 04 - How to use embeddings for clustering

  • 05 - 4. Codex Models
  • 01 - What are Codex models
  • 02 - Overview of supported coding languages
  • 03 - Codex example code
  • 04 - GitHub Copilot

  • 06 - 5. DALL-E Models
  • 01 - What are DALL-E models
  • 02 - How it works
  • 03 - Examples of use cases

  • 07 - Conclusion
  • 01 - Be careful
  • 02 - More ideas
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