Definition should include
- algorithm
- bias
- computer vision
- deep learning
- diffusion model
- generative AI
- generative pre-trained transformer (GPT) (e.g., chatbot, rag model)
- hallucination
- label
- large-language model (LLM)
- machine learning
- models
- natural language processing (NLP)
- neural network
- prompt engineering
- supervised learning
- structured data
- unstructured data
- training data
- test(ing) data
- transformer model
- unsupervised learning
- validation data
- the concept of problem as a broad objective (e.g., improve student success)
- the concept of machine task as a bounded operation with specific inputs resulting in a specific output (e.g., predict school attendance).