Generative AI Concepts and Services for AI-900 Certification

Explore generative AI concepts and services in this comprehensive video supplement to the AI-900 Study Cram. Dive into the differences between AI and generative AI, learn about training large language models, and understand the capabilities of generative AI. Examine the transformer model architecture, including its key components and mechanisms like positional encoding and attention. Gain insights into OpenAI, GPT models, and Microsoft Copilots. Discover prompt engineering techniques and witness a Copilot demo. Explore Azure OpenAI services, pricing, and the Azure OpenAI Studio. Learn about integrating data with Azure AI Search and the importance of responsible generative AI practices. Benefit from associated resources, including a whiteboard diagram, pricing information, and links to related learning materials.

- Introduction
- AI vs Generative AI
- Training an LLM
- Capabilities of Generative AI
- Transformer model
- Parts of a transformer AI
- Positional encoding
- Attention
- Summary of the model
- OpenAI and GPT
- Microsoft Copilots
- Prompt engineering
- Copilot grounding
- Copilot demo
- Azure OpenAI services
- Azure OpenAI pricing
- Azure OpenAI Studio
- Adding data and Azure AI Search
- Responsible Generative AI
- Summary and close