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Feeling lost in the AI landscape? You’re not alone. This jargon buster simplifies key AI concepts, making them accessible to beginners. Think of it as your cheat sheet to understanding the AI revolution.

Here’s a breakdown of commonly used terms:

* **Large Language Model (LLM):** The fundamental technology powering many AI applications. Imagine it as the engine driving AI’s capabilities. LLMs can be accessed through command lines or within development environments.
* **ChatGPT Wrapper:** A customized version of the core ChatGPT agent, similar to the specialized GPTs found on platforms like chatgpt.com/gpts. These wrappers tailor ChatGPT’s abilities for specific tasks.
* **AI Agent:** An independent system equipped with an LLM and various tools, enabling it to make decisions and execute tasks autonomously. Popular examples include ChatGPT, Perplexity, and numerous chatbot implementations.
* **Vibe Coding:** A lighthearted term describing the collaborative process of debugging code, often involving shared frustrations.
* **Vibe Coder:** A person who enthusiastically (and sometimes loudly) expresses their disappointment when an AI coding assistant fails to deliver the desired results, typically due to a poorly constructed prompt.
* **Context Engineer:** A specialized professional skilled in creating highly detailed and effective prompts to optimize the performance and output of AI agents.

This guide is inspired by a helpful compilation originally shared on the Reddit forum r/artificialintelligence: [https://old.reddit.com/r/artificial/comments/1mne81e/beginners_guide_to_ai_terms_and_how_theyre_used/](https://old.reddit.com/r/artificial/comments/1mne81e/beginners_guide_to_ai_terms_and_how_theyre_used/).