Generative AI Glossary Simplified For Novice
Generative AI Glossary For All:
1. AI (Artificial Intelligence)
What it means: It’s like a robot brain that helps computers think and learn like humans.
Example: Siri or Alexa answering your questions.
2. Generative AI
What it means: AI that can create new things like pictures, blogs, stories, music, or even games.
Example: Imagine asking your computer to draw a dragon, and it makes a totally new dragon picture for you!
3. Prompt
What it means: A question or instruction you give to AI to create something.
Example: You tell the AI, “Write a bedtime story about a flying turtle,” and it writes a story for you.
4. Model
What it means: The brain of the AI that learns how to do things by studying lots of examples.
Example: A model trained on drawings learns to create new drawings.
5. Training Data
What it means: The examples AI studies to learn from.
Example: If you want AI to learn about animals, you show it lots of pictures of cats, dogs, and elephants.
6. Deep Learning
What it means: A fancy way AI learns by copying how our brain works, using “layers” of thinking.
Example: It’s like stacking building blocks to figure out that a “circle + two triangles = a cat face.”
7. Bias
What it means: When AI makes mistakes because the examples it learned from weren’t fair or complete.
Example: If the AI sees only pictures of brown dogs, it might think all dogs are brown.
8. Token
What it means: A tiny piece of a word or sentence that AI uses to figure out what to say next.
Example: In “The cat is,” the tokens might be “The,” “cat,” and “is.”
9. API (Application Programming Interface)
What it means: A tool that lets you connect the AI to apps and games.
Example: Using AI in a game to create new levels based on your ideas.
10. Output
What it means: The answer or creation AI gives you.
Example: You say, “Draw a pirate ship,” and the drawing it makes is the output.
11. Chatbot
What it means: A program that talks to you, like a super-smart friend.
Example: When you ask ChatGPT, “What’s the capital of France?” and it replies, “Paris.”
12. Ethics
What it means: Rules about how to use AI responsibly.
Example: Making sure AI doesn’t create mean or harmful content.
13. Fine-Tuning
What it means: Teaching AI extra things so it gets really good at a specific job.
Example: Training AI on your favorite recipes so it helps you write a personalized cookbook.
Here’s a kid-friendly glossary for LLMs (Large Language Models) in Generative AI, with simple explanations and fun examples:
14. LLM (Large Language Model)
What it means: A super-smart computer program that reads and writes like a human.
Example: It’s like a giant library brain that can help you write stories, answer questions, or even tell jokes!
15. Natural Language
What it means: The way we talk and write, like in English, Spanish, or any other language.
Example: Saying “How are you?” and the LLM understands it like a person would.
16. Prediction
What it means: The LLM guesses the next word or sentence based on what you say.
Example: You type, “Once upon a time,” and it predicts, “there was a brave knight.”
17. Pre-trained Model
What it means: An LLM that’s already been taught a lot of stuff.
Example: It’s like getting a robot that already knows how to play soccer!
18. Parameters
What it means: The “brain cells” of the LLM that help it learn and think.
Example: A bigger LLM (with more parameters) can solve harder puzzles, like a superhero with a bigger brain.
19. Context
What it means: The information the LLM uses to understand what you mean.
Example: If you say “bat,” the LLM decides if you mean the animal or a baseball bat by looking at the rest of the sentence.
20. Response
What it means: What the LLM writes or says back to you.
Example: You ask, “What’s 2 + 2?” and it replies, “4.”
21. Hallucination (in AI)
What it means: When the LLM makes up something that’s not true.
Example: You ask, “Who is the president of Mars?” and it says, “Mr. Alien,” which is made-up!
22. Prompt Engineering
What it means: Asking the LLM questions in a smart way to get the best answers.
Example: Instead of saying “Tell me about planets,” you say, “List the planets in order from the sun.”
24. Multilingual
What it means: The LLM can understand and respond in many languages.
Example: You say “Bonjour” (French for hello), and it replies “Salut!”
25. Creative Applications
What it means: Using AI to make fun or cool things like stories, games, or art.
Example: An app where AI helps you design your dream treehouse.
In Nutshell:
Generative AI is like a super-smart artist or storyteller that can help you imagine, create, and learn new things. It’s your creative buddy in the digital world! 😊
