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We've all heard horror stories about generative AI tools like ChatGPT, Gemini, or Copilot getting things spectacularly wrong. But do you understand why these tools sometimes get stuff so wrong when ordinarily it seems like they know everything?
In this video we'll explore a little about how the large language models powering AI tools like GPT-4 work, how they are trained, and why they get stuff wrong. Why is this a particular issue for businesses? What is grounding (or retrieval augmented generation)? And if you're adopting AI, what should you do about it?
Whether your tool of choice is Copilot, Copilot for Microsoft 365 (Microsoft 365 Copilot), ChatGPT, Gemini, Claude, or something else, this information equally applicable to learning a little more about how AI works for you.
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Links:
Microsoft Responsible AI - www.microsoft.com/en-us/ai/re...
Chapters:
0:00 Introduction
1:20 The problem with Generative AI
2:36 Why Generative AI gets stuff wrong
6:26 Why is AI wrongness a particular issue for businesses?
11:46 What should businesses adopting AI focus on?
Apart from publicly accessible information, all user data or other related information shared in this video is created for demonstration purposes only. User accounts, passwords, or other data used as part of any demonstrations shown in this video have been created specifically for that purpose and are not any individual or company's private information or data.
Bright Ideas Agency is an Ohio Limited Liability Company. The content of this video is for informational and entertainment purposes only. No guarantees are given in connection with the information shared and you should seek independent technical or business advice before implementing anything you see in this video. If you want to hire us for your project, visit www.brightideasagency.com and get in touch.