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Webinar: Microsoft: Day In the life of a Developer in the Era of AI

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Summary

  • Covers using GITHUB COPILOT to fix bugs in the eyes of a new developer
  • How to build a LLM model using your own dataset
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In order to make applications intelligent/AI capable - they need to be modern i.e. micro services, API’s, CI/CD etc.

Need clean, pure data to drive decisions - no mistakes

Example…

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Five steps…

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Q: How much research has been done to determine that end users want to interact with a system using natural language vs a point and click interface?
A: I recommend to follow Jaime Teevan- Chief Scientist & Technical Fellow at Microsoft for the dozens of interesting researches on future of work & HCI
https://www.linkedin.com/in/jaimeteevan/
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Every developer needs to be 10X more vigilant on the automated code output - it contains bugs!

Try: VSCODE Insider Preview - Agent Code preview

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Azure AI Foundry - Chat Playground

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GPT 3.5 TURBO model & added custom data

Can use it to filter out questions

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msevents.microsoft.com

Microsoft Reactor Prompt Engineering 101Microsoft Reactor Prompt Engineering 101

We encourage everyone to join our next 2 sessions on Security

Data Security for AI

https://msevents.microsoft.com/event?id=12142814910245&ocid=lp_pg446902_gdc_comm_az 

Code Security Reinvented: Navigating the era of AI

https://msevents.microsoft.com/event?id=1314627257308&ocid=lp_pg446902_gdc_comm_az

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