Experience AI Training
Experience AI Training
Embedded Files
Basic Tools
Basic Tools
Interact with these Google tools by drawing, looking at data sets of drawings collected over time or practicing prompts to match the image Google gives you. See what level you can achieve.
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Intermediate Tools
Intermediate Tools
Try these AI Amazon Future Engineer Tours- where there are ready materials like a free kahoot to learn how AI plays a part in Sports realtime reporting, Amazon Music streamming , Pharmacy prescription fulfillment and Space innovation. Citizen DJ allows you to take prerecorded sound bites (from speeches to song clips) and remix them.
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Advanced Tools
Advanced Tools
Try Google's Teachable Machine or Library of Congress's Newspaper Navigator to learn how to train the computer to recognize images.
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Experimenting with Google's Teachable Machine will help you better understand: Datasets, Equal Representation, Training Components of AI
Experimenting with Google's Teachable Machine will help you better understand: Datasets, Equal Representation, Training Components of AI
1) Add images for example an animal.
2) What happens when you train only one class?
3) What happens when you increase the number of images in your dataset? Make sure both classes have at least ten images.
Library of Congress: Newspaper Navigator
(Train AI to filter & recognize patterns from prompt search using newspapers learned)
AI Around Us
AI Around Us
More on Machine Learning (ML)
More on Machine Learning (ML)
Machine Learning is the "intelligence" that trains AI:
Artificial intelligence learns by analyzing large amounts of data. The more data input given to AI, the more accurate it can become at completing tasks. Machine learning is a subfield of computer science that is concerned with the development of algorithms that give computers the ability to learn without explicitly being programmed. The video "What is AI?" uses the example of a robot dog learning to identify toys as a metaphor for AI. In this example, all the pictures that the dog has to see to "learn" to identify toys represent the data that AI needs to work properly. Without processing and analyzing vast amounts of training data, AI (in this case, the robot dog) cannot learn to do simple tasks.
Algorithms & Patterns of Digital Use
Algorithms & Patterns of Digital Use
An Algorithm is a set of instructions to complete a task or create a solution.
AI recognizes patterns of use or decisions a user makes in order to predict patterns to suggest recommendations.
Sometimes when AI doesn't match your prompt it simply has not been trained enough on the topic.
Algorithm
What does your Algorithm say about you?
What topics or themes of media pop up more frequently?
Do you recognize when apps try to introduce you to a new topic you don't ordinarily see?
Do you recognize any ways apps try to influence your opinions?
A Decision Tree is flowchart-like structure used in machine learning to model decisions and their potential outcomes, acting as a predictive model for classification and regression tasks. Decision trees are trained by an abundance of patterns in data which AI simplifies to make predictions.
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