When children learn how to hit a baseball, they don’t start with fastballs. Their coaches begin with the basics: how to grip the handle of the bat, where to put their feet and how to keep their eyes on the ball. Similarly, an autonomous AI system needs a subject matter expert (SME) to break a complex process or problem into easier tasks that give the AI important clues about how to find a solution faster.
von

Designing Autonomous AI
University of WashingtonÜber diesen Kurs
Familiarity with engineering concepts like robotics and manufacturing is helpful but not required. Coding experience is not needed.
Was Sie lernen werden
• You'll gain key AI terminology and understand how to teach and train AI.
• You'll design your own original autonomous AI system.
Kompetenzen, die Sie erwerben
- Architecture Design Patterns
- Simulated Environments
- AI Brain Design
- AI Brain Performance
- Reinforcement Learning
Familiarity with engineering concepts like robotics and manufacturing is helpful but not required. Coding experience is not needed.
von

University of Washington
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.

Microsoft
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.
Lehrplan - Was Sie in diesem Kurs lernen werden
Defining your AI
The first step in designing an autonomous AI is defining what your AI is going to do and what the goals are? Think about it like describing a game to someone. First you explain what the object of the game is, and then you describe the rules. In this module you'll learn how to do the same for your autonomous AI use case.
Teaching Skills to your AI
Autonomous AI brains are built from skills. Skills are “units of competence for completing tasks that have sub-goals associated with them.” This week you'll learn to outline the skills you want your autonomous AI brain to learn. First, you’ll identify three different types of skills that you can build into your brains. Then, you’ll learn a strategy that will help easily extract and document skills from subject matter experts you interview. Along the way we’ll look at some design patterns that you can use as templates to start your use case brain designs.
Organizing Skills in your AI
Now that you understand how to interview a subject matter expert and lay out all the skills that you want your AI to practice, you need to organize those skills in the brain. In this module you’ll learn two organizing paradigms for skills in autonomous AI, and a three-step framework for completing this orchestration. This week you’ll see some brain design patterns for example use cases, to help you with thinking about organizing your own use case brain design.
Putting it All Together
Now it's time to put it all together. You've defined your AI, you've identified a set of skills that you want to teach your AI and you've used brain design patterns in the paradigms of orchestration to snap those skills together in the right arrangement. There's a few pitfalls to orchestration that you should be aware of and you’ll have lots of opportunity to practice creating variations on brain designs for sample problems. Make sure to share your brain designs from the lab in the forum, so we can discuss them together and learn from each other.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
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