Intro · 1:53
Introduction
Our education startup.
- Based on Microsoft's open-source Generative AI for Beginners curriculum on GitHub.
- LLMs reach human-level performance on many tasks.
- Scenario: a startup improving accessible, personalised education.
| Item | Detail |
|---|---|
| Presenter | Carlotta Castelluccio, Microsoft |
| Scenario | Education startup |
| Mission | Equitable, personalised learning |
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Curriculum?
Open source on GitHub.
Scenario?
An education startup.
0:09 hi everyone and welcome to the first lesson of the generative AI for beginners course uh this course is based on an open source curriculum with the same name available on gab that you can find at a link on the screen I'm carot cucho I'm A Cloud Advocate at Microsoft focusing on artificial intelligence Technologies and in this video video I'm going to introduce you to generative Ai and large language models large language models represent the Pinnacle of AI technology pushing the boundaries of what was once for possible they've conquered numerous challenges that older language models struggled with achieving human L performance in various stas they have sever capabilities and applications but for the sake of this course we'll explore how Lar large language models are revolutionizing education through a fictional startup that we'll be referring to as our startup our startup works in the education domain with the Ambi with the ambitious mission of improving accessibility in learning on a global scale ensuring Equitable access to education and providing personalized
1:23 learning experiences to every learner according to their needs in this course we'll delve into to how our startup harnesses the power of generative AI to unlock new possibilities in education we'll also examine how they address the enevitable challenges tied to the social impact of this technology and its technological limitations but let's start by defining some basic concept we'll be using throughout the course despite the uh relatively recent hype surrounding generative AI we can say that in the last couple of years we have really uh heard of generative AI everywhere and every time um but this technology has been decades in the making with its Origins tracing back to
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