# LLM Nonsense

> LLM Nonsense is an AI education brand and learning platform that explains artificial intelligence (AI) and large language models (LLMs) in plain English for complete beginners. Tagline: "Making sense of the nonsense." No PhD, no hype, no nonsense.

LLM Nonsense teaches the basics of AI through short lessons, an AI tutor that explains things like a patient friend, and a free plain-English AI glossary. Its tone is honest, a bit cheeky and never condescending. The goal of every lesson is the reaction "oh, that's all it is?"

## Key pages

- [Home](https://llmnonsense.com/): overview, content series, courses and FAQ
- [The Nonsense Dictionary](https://llmnonsense.com/dictionary): plain-English definitions of 22 AI and LLM terms
- [Privacy policy](https://llmnonsense.com/privacy)

## Content series

- **Nonsense Decoded**: one AI buzzword per episode, translated into plain English
- **Nonsense Detector**: real AI hype headlines and posts rated from 1 to 10 on a "nonsense meter"
- **Sense Made**: hands-on mini courses, such as writing your first prompt, stopping ChatGPT from making things up, and using AI for your actual job
- **Ask a Dumb Question**: a no-judgment Q&A where beginners submit the AI questions they were embarrassed to Google

## Courses and products

- **Nonsense 101**: free starter course on what AI is, how chatbots work and why they sometimes make things up
- **From Nonsense to Sense**: the flagship course with an AI tutor, from "what's a token?" to using AI confidently at work (launching soon)
- **The Nonsense Dictionary**: free plain-English AI glossary
- **Nonsense Proof**: a completion badge for the flagship course

## FAQ

### Do I need to know how to code?
Nope. If you can send a text message, you can do this. The tutor only gets technical when you ask it to.

### Is this just another AI hype channel?
The opposite. We exist to call out hype. If something is overblown, the Nonsense Detector will say so, on a scale of 1 to 10.

### What is the AI tutor, exactly?
An AI that explains things in plain language, answers your follow-ups and checks you actually get it. Think of it as the patient friend who never sighs.

### How long does Nonsense 101 take?
Short lessons you can do on a coffee break. Go at your own pace and skip what you already know.

## Glossary (The Nonsense Dictionary)

- **Artificial intelligence (AI)**: Software that does things we normally associate with human thinking, like understanding language, recognizing images or making predictions.
- **Machine learning**: A way of building AI where the computer learns patterns from lots of examples instead of following rules a person wrote by hand.
- **Neural network**: A kind of machine learning model made of many simple math units in layers. It is loosely inspired by the brain, but it is just math.
- **Generative AI**: AI that creates new content, such as text, images, audio or code, based on patterns it learned from existing examples.
- **Large language model (LLM)**: An AI model trained on huge amounts of text to predict the next word. ChatGPT, Claude and Gemini are built on LLMs.
- **Chatbot**: A program you talk to in plain language. Modern chatbots usually run on a large language model.
- **Token**: A chunk of a word. AI reads and writes text in little pieces, not whole words or single letters.
- **Context window**: How much text the AI can keep in mind at once, including your messages and its replies. Its short-term memory.
- **Prompt**: The thing you type to the AI. Yes, that is it. That is the whole thing.
- **Hallucination**: When the AI makes something up and says it with total confidence. It predicts plausible text, not checked facts.
- **Training data**: The examples an AI model learns from. Its quality shapes everything the model knows and gets wrong.
- **Parameters**: The millions or billions of numbers inside a model that get adjusted during training. They store what the model learned.
- **Temperature**: A setting that controls how random the AI's answers are. Low means safe and predictable, high means more creative and more chaotic.
- **Embedding**: A way of turning words or documents into lists of numbers so a computer can measure how similar their meanings are.
- **RAG (retrieval-augmented generation)**: Letting the AI look things up in your documents or a database before it answers, so it relies less on memory.
- **Fine-tuning**: Extra training on a smaller, focused set of examples so a model gets really good at one specific job.
- **Inference**: The moment the AI actually runs and produces an answer, as opposed to when it was being trained.
- **Multimodal**: An AI that can handle more than one kind of input or output, such as text, images, audio or video.
- **AI agent (agentic AI)**: An AI that does not just answer but takes steps for you, like searching, clicking or using other tools, to finish a task.
- **Prompt injection**: A trick where hidden instructions in a web page, email or file try to make an AI do something its user did not ask for.
- **Bias**: When an AI's output is unfair or skewed because of patterns in its training data or how it was built.
- **AGI (artificial general intelligence)**: A hypothetical AI that could learn and do any intellectual task a human can. It does not exist yet, and experts disagree on when or if it will.

## Contact

- Email: hello@llmnonsense.com
- Social: @llmnonsense on YouTube, TikTok and Instagram