Year 10 - Computing
Predictive vs generative AI
Data science: AI and machine learning
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This pupil-friendly study guide includes a unit summary, clear notes, common mistakes, and quick questions with answers.
Year 10 - Computing
Data science: AI and machine learning
This unit introduces pupils to the emerging field of data science. They will explore what AI systems are and the different categories of AI. The concept of machine learning and how models are driven by data will be explored. They will also consider the ethical and wider implications of AI systems.
You will learn to explain the differences between predictive and generative AI systems.
Predictive AI makes predictions by using patterns found in existing data. Generative AI is a type of AI that produces new, original content based on the patterns it has learned.
machine learning algorithms use data to identify patterns and make guesses about the future. Add one real device or system example to prove understanding.
Mistake: Only generative AI systems require training data to complete tasks. Correction: All AI systems rely on training data to perform tasks by using patterns identified in the data.
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