Practical Applications of Prompt (PXMO) - Pre-Assessment Review

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A comprehensive vocabulary review of prompt engineering components, prompting patterns, AI biases, ethical principles, and multimodal technologies from the PXMO Pre-Assessment.

Last updated 4:36 PM on 10/14/26
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22 Terms

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Persona

A prompt engineering component that assigns a specific role or perspective (such as "You are a lawyer") to direct the model to generate highly relevant and appropriate responses.

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Instructions

The component of a prompt that directs the artificial intelligence to perform a specific task or action (such as "Find bike paths near Minneapolis").

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Constraints

Rules and boundaries defined within a prompt—such as character counts, length restrictions, or prohibited language—that establish the scope and prevent overly broad or nonsensical output.

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Delimiters

Punctuation marks, symbols, or formatting tags inserted between distinct sections of a prompt to ensure the model processes instructions separately from background context.

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Tree of Thought (TOT)

A prompting technique that instructs an AI system to generate and explore multiple possible paths, endings, or solutions before selecting the most suitable response.

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Generated Knowledge Prompting

A prompting technique that elicits background information or facts from an initial prompt and then uses that knowledge to guide the response to a follow-up prompt.

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Self-Consistency

A prompting technique that involves running the exact same prompt multiple times and taking the most recurring or consistent result as the final answer.

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Task Decomposition (Multi-Step Prompting)

The strategy of breaking a complex objective into sequential prompts—such as drafting content first for accuracy and rewriting in a second step for clarity and tone.

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Generative AI Processing Mechanism

The computational method by which algorithms interpret prompt input and identify patterns across training data to synthesize new text, code, or images.

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Reinforcement from Human Feedback

A process where human evaluators rate model outputs as helpful or unhelpful, providing labeled feedback that acts as rewards and penalties to refine the system toward better clarity and tone.

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Algorithmic Bias

Systematic discrimination or skewed results arising from patterns in historical training data, such as disproportionately advising loan rejections for residents of a particular geographic area.

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Measurement Bias

A systematic error where an AI model consistently produces measurements or forecasts that deviate by a regular margin (such as consistently underpredicting or overpredicting temperatures by five degrees).

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Confirmation Bias (in AI Prompting)

The user behavior of repeatedly querying an AI system until it outputs an answer that aligns with the user's pre-existing belief or favored outcome.

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Transparency

The ethical principle requiring organizations to openly disclose AI methodologies, reveal whether content or evaluations were AI-generated, and inform users if they are interacting with an AI system rather than a human.

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Accountability

The ethical principle focused on establishing clear governance mechanisms to assign legal and organizational responsibility for the actions, outcomes, and potential harms of an AI system.

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Privacy

The ethical principle of implementing safeguards and security measures to prevent the unauthorized access, disclosure, or misuse of sensitive personal or organizational data in AI systems.

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Fairness

The ethical AI principle ensuring that systems treat individuals equitably without discriminating against members of federally protected classes or specific demographic groups.

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Optical Character Recognition (OCR)

An AI technology that analyzes printed, typed, or handwritten text on physical documents—such as receipts, shipping labels, and legal contracts—and converts it into searchable digital data.

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Speech Recognition

An AI tool that converts spoken verbal commentary into written text or structured data entries in real time.

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Voice Recognition

An advanced AI capability that analyzes biometric vocal characteristics to identify and verify the name or identity of the person speaking.

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Speech Synthesis

An advanced AI application that translates digital written text into audible spoken language.

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Image Prompt Specificity

The practice of clearly defining the main subject, setting, and environment in a text prompt to provide precise guidance for AI image generators.