This is a supplement to my AI-900 Study Cram. In this video I explore the Generative AI concepts and services.
Useful associated videos:
📽️ AI-900 Study Cram – https://youtu.be/E9aarWMLJw0
📽️ What is ChatGPT – https://youtu.be/_B3-OtAHzIU
📽️ RAG, embedding and more – https://youtu.be/orLGv2LgWDE
🔎 Looking for content on a particular topic? Search the channel. If I have something it will be there!
▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 – Introduction
00:23 – AI vs Generative AI
05:16 – Training an LLM
09:06 – Capabilities of Generative AI
10:29 – Transformer model
13:16 – Parts of a transformer AI
19:00 – Positional encoding
20:06 – Attention
26:41 – Summary of the model
27:38 – OpenAI and GPT
32:20 – Microsoft Copilots
35:06 – Prompt engineering
37:04 – Copilot grounding
39:56 – Copilot demo
42:23 – Azure OpenAI services
45:02 – Azure OpenAI pricing
45:44 – Azure OpenAI Studio
48:41 – Adding data and Azure AI Search
52:25 – Responsible Generative AI
56:30 – Summary and close
▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Whiteboard:
🔗 https://github.com/johnthebrit/RandomStuff/raw/master/Whiteboards/AI-900GenerativeAI.png
► Azure OpenAI Pricing:
🔗 https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/
► OpenAI models:
🔗 https://platform.openai.com/docs/models
▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
📖 Recommended Learning Path for Azure
🔗 https://learn.onboardtoazure.com
🥇 Certification Content Repository
🔗 https://github.com/johnthebrit/CertificationMaterials
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🎓 Certification Cram Videos
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🧠 Mentoring Content
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