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CFDA (IN) U1 Vocab
Computing Foundations for a Digital Age Indiana Unit 1 All Vocabulary
| 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 |
| context | additional information or data surrounding a prompt or query that helps the AI generate more accurate and relevant responses |
| contradiction | when an AI generates conflicting or opposing responses based on a similar input, making it impossible for both responses to be correct at the same time |
| AI bias | when a model favors certain information over others |
| alignment | ensuring an AI system’s goals and outputs match human values, fairness, and safety |
| prompt engineering | the process of creating precise and effective prompts to guide generative AI models |
| co-creating | humans and AI working together, with humans providing creativity and direction, while AI assists by processing data, generating suggestions, or automating tasks |
| attribution | the act of giving credit to the original creator of a work, especially in the context of using or referencing their material |
| copyright | the legal right granted to the creator of an original work to use, distribute, and modify it |
| ethics | a guide for responsible choices about emerging technologies, ensuring privacy, consent, and safety for everyone |
| transparency | the practice of openly disclosing how something works, especially in terms of decision-making, data use, or AI processes |
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bchan
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