Tech Terms Explained Simply

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The Model Context Protocol (MCP) is a universal standard that lets AI systems use tools and interact with external applications, databases, and APIs through a common framework.

Link https://modelcontextprotocol.io/docs/getting-started/intro

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An MCP server is a system that implements the Model Context Protocol, managing and routing requests between an AI and external tools, applications, or data sources so the AI can use them through a common interface.

Link https://modelcontextprotocol.io/docs/getting-started/intro

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A large language model (LLM) is an AI trained on vast amounts of text to understand meaning, context, and patterns in language, allowing it to generate useful, human-readable responses.

Link https://en.wikipedia.org/wiki/Large_language_model

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The context is the information that is provided to the LLM to help it generate a response. It can include the previous messages in the conversation, the user's intent, and the relevant information from the user's profile.

Link https://en.wikipedia.org/wiki/Large_language_model

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An LLM prompt is the input or instruction given to a large language model that tells it what to do or generate, such as answering a question, writing text, or analyzing information.

Link https://en.wikipedia.org/wiki/Large_language_model

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An AI agent is a software system that uses AI to perform tasks or make decisions, often in a way that is similar to how humans would. They can be used to automate repetitive tasks, provide recommendations, or even make decisions in real-time.

Link https://en.wikipedia.org/wiki/Agent_(computing)

AI Slop

ai content-creation

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Low-effort, mass-produced content cranked out by AI with little quality control. Think generic blog posts, repetitive social media content, or weird AI-generated images flooding the internet.

Link https://en.wikipedia.org/wiki/AI_slop

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