Create Global-AI-Bootcamp-Mar2024.md

Global-AI-Bootcamp-Mar2024.md

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+# Global AI Bootcamp (Auckland)
+## 👉 [Catch the recording here!! (Link to YouTube🔗)](https://www.youtube.com/watch?v=bcS9iwpGVJI&t=629s) 👈
+
+<br>
+<img width="500" alt="image" src="https://github.com/abbyjshen/GenAI-Get-Started/assets/40477007/c87411c7-e6d2-4ad3-9c4c-f3c04e05786d">
+
+**Presentation slides:** 🔎 [Search Smarter in Generative AI Apps](https://github.com/abbyjshen/GenAI-Get-Started/blob/main/files/Global%20AI%20Bootcamp%20-%20Search%20smarter%20in%20Generative%20AI%20apps%206Mar.pdf)
+
+**Takeaway links**
+- Learn more about Azure AI Search: [https://aka.ms/AzureAISearch](https://aka.ms/AzureAISearch)
+- Explore Azure AI Studio for a complete RAG development experience: [https://aka.ms/AzureAIStudio](https://aka.ms/AzureAIStudio)
+- Dig more into quality evaluation details and why Azure AI Search will make your application generate better results: [https://aka.ms/ragrelevance](https://aka.ms/ragrelevance) 
+
+**Azure OpenAI Service on your data:** 📺 [https://www.youtube.com/watch?v=9IBEVMQh5FQ](https://www.youtube.com/watch?v=9IBEVMQh5FQ)
+
+<br>
+<img width="500" alt="image" src="https://github.com/abbyjshen/GenAI-Get-Started/assets/40477007/29aa8276-c0cf-406d-b85a-ab0b3c1393e6">
+<br></br>
+
+### Links and comments shared on Teams live stream:
+- In Copilot Studio, creating a GPT doesn't train a Generative Pretrained Transformer model. In this case a "GPT" is a LLM combined wtih a System Message and a data source for RAG (think of it as "RAG in a box"). Like the ChatGPT GPTs. As Chimes said "Don't train a GPT" - i.e. don't train a Generative Pretrained Transformer, but feel free to build a "RAG in a box".
+- You could use Florence Computer Vision model to analyze the content and then load that into a Vector index (as chunks). Or Azure Video Indexer. For specialised use cases (eg videos), it'll make sense to do pre-processing on the data using specialised tools (eg computer vision, Video Indexer, python scripts) before pointing Copilot at it. It'll be better and/or cheaper - horses for courses still applies.
+- Coutesy of Copilot in Teams meetings (my prompt was _"Gather all links shared in the chat into a list, including the link and a description of what it is"_)
+  - Here are the links shared in the chat with their descriptions:
+    - [Dan Walker's LinkedIn post about his six-month activity](https://www.linkedin.com/posts/dan-tewhenua-walker_kia-ora-koutou-my-goal-for-my-six-month-activity-7152607574813511680-UdKT?utm_source=share&utm_medium=member_desktop) 1
+    - [Azure OpenAI Service models](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#embeddings) (The three (gen2 and gen3) embedding models available in AOAI (from OAI)) 2
+    - [microsoft/semantic-kernel](https://github.com/microsoft/semantic-kernel) (Integrate cutting-edge LLM technology quickly and easily into your apps) 3
+    - [Microsoft Copilot Studio sign-up page](https://learn.microsoft.com/en-us/microsoft-copilot-studio/sign-up-individual) 4
+    - [Microsoft Copilot for Azure](https://azure.microsoft.com/en-us/products/copilot) (AI Companion and Assistant in Azure) 5
+    - [Microsoft Build Vision Applied Credential](https://learn.microsoft.com/en-us/credentials/applied-skills/build-azure-ai-vision-solution/) (Vision Studio is part of it)
+
+<br></br>
+![image](https://github.com/abbyjshen/GenAI-Get-Started/assets/40477007/5df805bf-92bf-47d9-90ca-b1720c716af2)
+