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CFDA (IN) U1 L1-4
Computing Foundations for a Digital Age Indiana Unit 1 Vocabulary Lessons 1-4
| Term | Definition |
|---|---|
| abstraction | focusing on the important information and ignoring irrelevant details |
| artificial intelligence (AI) | a technology that mimics human intelligence, performing tasks such as understanding language, recognizing patterns, and making decisions |
| probability | the likelihood that a specific outcome might occur |
| prompt | a question, instruction, scenario, or statement provided by the user to guide the AI's response |
| multimodal model | an AI system that can process information from multiple types of input |
| large language model (LLM) | a general purpose form of AI that is trained on a very, very large body of knowledge |
| neural network | an interconnected network that makes decisions using weights and hidden layers. It is used to represent the relationship between words |
| training | the process of teaching an AI model by exposing it to large amounts of data, allowing it to learn patterns, improve accuracy, and refine its predictions over time |
| training data | the structured or unstructured information, such as text, images, or code, used to train an AI model and shape its ability to recognize patterns and generate accurate responses |
| hallucination | when the model makes up false or misleading information that sounds real but isn’t true |