computer science

vocab

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