Demystifying AI: Your Go-To Glossary

Navigate the complex world of artificial intelligence with ease. Our curated glossary breaks down key terms and concepts, helping you stay informed in the rapidly evolving AI landscape.

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S

Snippet Versioning

Snippet versioning is the practice of saving different versions of short, reusable pieces of content or code. It lets you update, test, and track changes safely over time, without losing older working versions.

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Step-Back Prompting

Step-back prompting is a simple AI technique that helps models tackle tough problems by first thinking about big-picture ideas or basic principles, then applying them to the details. It makes reasoning clearer and more accurate, like pausing to see the forest before the trees.

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Style Guide

A document that outlines the rules for writing, formatting, and presenting content consistently. It defines tone, voice, grammar, and structure to ensure all content—whether created by humans or AI—aligns with your brand identity and resonates with your audience.

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Style Prompting

Style prompting guides AI to produce output in a specific tone, format, or voice, like formal or casual. It's a simple way to shape responses by adding style instructions to your prompt, making AI feel more like a custom writer.

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Sycophancy

Sycophancy in AI describes a model's tendency to tell users what they want to hear instead of what's accurate. Rather than providing truthful, helpful responses, the AI defaults to agreeing, flattering, or validating the user—even when their statements are incorrect or their ideas need honest feedback.

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Synthetic Data

Synthetic data is artificially generated information created by algorithms or simulations to mimic the patterns and structure of real-world data. Instead of being collected from actual events or people, it's crafted to behave like the real thing — making it useful for training AI models, testing systems, and protecting privacy.

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System Prompt

A system prompt is a hidden instruction given to an AI model at the start of a conversation. It defines the assistant's role, behavior, tone, and constraints, shaping how it responds to every message. Think of it as the backstage direction that guides the AI's performance throughout the entire interaction.

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Task

In AI context, a task is a specific action or objective you want the AI to accomplish. It's like giving your digital assistant a to-do list item, guiding its efforts towards a particular goal.

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Technical Writing Prompts

Technical writing prompts are structured instructions or scenarios designed to guide the creation of clear, precise documentation. In the AI context, they help users craft effective inputs for language models to generate manuals, guides, API docs, and other professional content efficiently.

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Temperature

In the context of machine learning and deep learning, "temperature" is a parameter used to control the randomness of the output in models, particularly in those involving probabilistic predictions.

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Thread-of-Thought

Thread-of-Thought (ThoT) is a prompting technique that helps AI models break down messy, long texts into smaller parts. It guides the AI to analyze each section step by step, summarize key points, and build accurate answers without extra training.

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Tokenization

Tokenization is the process of splitting text, images, or audio into smaller, meaningful units called tokens, making it easier for artificial intelligence systems to understand and analyze data .

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Token Pricing in AI

Token pricing is a usage-based billing model where you pay for the text an AI model processes, measured in tokens. Costs are calculated separately for input (prompt) and output (generated text), typically priced per million tokens, with output tokens usually costing more due to higher computational demands.

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Tokens

Tokens are the smallest units of text or data that a computer can process. They are like the building blocks of language, helping AI models understand and analyze text.

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Top-K in AI Models

Top-K is a sampling method used in AI text generation that narrows down the model's choices to only the K most probable next words. By adjusting the value of K, you control how predictable or creative the generated text will be.

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Top-P in AI Models

Top-p, also known as nucleus sampling, is a setting that controls how many word options an AI model considers when generating text. Instead of picking from all possible words, it narrows the choices to the most probable ones whose combined likelihood reaches a set threshold — like 90%.

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Transformer Model

A transformer model is a type of neural network architecture that processes text and other data by analyzing relationships between all parts of an input at once, rather than reading it step by step. It's the foundation behind most modern AI tools, including chatbots and translation apps.

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Translation Prompt

A translation prompt is a set of instructions you give an AI model to convert text from one language to another. It typically includes details like source and target languages, tone, audience, and formatting rules to ensure the output sounds natural and accurate.

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User Prompt

A user prompt is the specific question, instruction, or request you type into an AI tool to get a response. It represents your immediate need in a conversation — what you want the AI to do right now — and works within the broader rules set by the system prompt.

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Vector Embeddings

Numerical representations of words or data points in a high-dimensional space, allowing for semantic comparisons and analyses.

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Vision

Ability of machines to interpret and understand visual data from images and videos.

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Raspado web

Web scraping is the process of automatically extracting data from websites, often using AI and machine learning to handle dynamic content and anti-scraping measures. It's like a digital librarian that gathers information from the internet for you.

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Web Search

Web search is the process of finding information online using search engines. Modern search engines use artificial intelligence to understand queries, match them with relevant content, and deliver personalized results quickly and accurately.

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Zero-Shot Prompting

Zero-shot prompting means giving an AI model a task or question without providing any examples of the expected response. The model relies entirely on its pre-trained knowledge to understand your instructions and generate an answer — making it the simplest way to interact with A

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We're continually expanding our artificial intelligence glossary. If there are concepts you think we're missing, let us know by emailing us at hello@promptitude.io, and we'll add them soon.