Algorithm, A clear, step-by-step set of instructions a computer follows to solve a problem., Chatbot, A program that converses with people in natural language., Bias, A systematic skew in an AI’s results, often caused by incomplete or unbalanced training data., Prompt, The text or instruction you give an AI to tell it what to do., Token, A small unit of text (a word or part of a word) that a model processes., Hallucination, When an AI confidently produces false or made-up information, Knowledge Base, A structured collection of information that an AI system can draw on., Overfitting, When a model memorizes its training data too closely and performs poorly on new data., Fine-tuning, Additional training of an already trained model for a specific task., LLM (Large Language Model), A model trained on huge amounts of text that can understand and generate language.

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