gluntyacademy Every word you meet when you make things with AI - said the way a person would say it. Tap a color to filter, or search.
40 plain-English words, and counting.
An AI that can take steps on its own to reach a goal, like looking things up or using other tools, instead of just answering one question.
When you give an agent a job, it can chain several actions together, so you can build helpers that do more than chat.
A clear set of steps that solves a problem, like a recipe a computer can follow exactly.
Every program you make is really a pile of algorithms, so writing clear steps is the heart of coding.
A set of rules that lets one program ask another program for help or information.
APIs let your project borrow powers from other services, like getting the weather or saving a file, without building them yourself.
The steady pulse in music that you clap or tap your foot to.
The beat holds a song together, so keeping it steady makes everything you add on top feel right.
When an AI leans unfairly one way because the examples it learned from were unbalanced or one-sided.
Spotting bias helps you notice when a tool is being unfair, so you can fix your data or double-check its answers.
Two or more notes played at the same time to make a fuller sound.
Chords set the mood of a song, so choosing them shapes whether your music feels happy, sad, or spooky.
All the information an AI can see at once while it answers you, like your question plus anything you pasted in.
The more useful context you give, the better the answer, so learning what to include is a real skill.
How different two things look next to each other, like dark text on a light background.
Good contrast makes your work easy to read and see, which matters for everyone who uses what you make.
A big collection of examples, like thousands of pictures or sentences, that an AI studies to learn.
The dataset shapes what an AI knows, so understanding it helps you predict what a tool can and cannot do.
Finding and fixing the mistakes that make your code do the wrong thing.
Everyone's code breaks, so debugging is how you turn something broken into something that works.
A rough first version of your work that you plan to improve later.
Starting with a messy draft beats waiting for perfect, because you can only fix something once it exists.
Choosing, trimming, and ordering video clips to tell a clear story.
Editing is where a pile of raw clips becomes a real film, so it decides how your story feels.
When the result of something feeds back in and changes what happens next, round and round.
Makers use feedback loops to improve fast by testing a thing, learning from it, and trying again.
Giving an already-trained AI extra practice on a smaller set of examples so it gets better at one specific job.
Fine-tuning lets you shape a general AI into a specialist for your project instead of training one from scratch.
How many still pictures are shown each second to make video look like smooth motion.
A higher frame rate looks smoother, so picking the right one changes how your video feels to watch.
A named chunk of code you can reuse whenever you need it, instead of writing the same steps again.
Functions keep your code short and tidy, so you can build big things without repeating yourself.
Describes AI that makes brand-new things, like text, pictures, or music, rather than just sorting or labeling.
Generative tools are the ones you use to create, so knowing how they work helps you guide what they make.
When an AI states something that sounds confident but is actually made up or wrong.
Because AI can hallucinate, you should always check important facts yourself before trusting them.
The catchy part of a song that sticks in your head and makes you want to hear it again.
A strong hook is what people remember, so it often decides whether a song grabs listeners.
To make something, learn from it, and then make a better version, over and over.
Almost nothing great is built in one try, so iterating is how good ideas become great ones.
An instruction that tells the computer to repeat the same steps many times.
Loops save you from copying work by hand, letting a few lines do a huge amount.
The main tune of a song, the part you hum or sing.
The melody is usually what people remember most, so it carries the heart of your song.
Thinking about your own thinking, like noticing how you solved a problem or where you got stuck.
When you watch how you learn, you can improve your own methods and get better faster.
The trained AI itself, the giant pattern-finder that turns your input into an answer.
Different models have different strengths, so choosing the right one shapes what your project can do.
A computer system built from many simple connected parts, loosely inspired by how brain cells link up, that learns patterns from examples.
Neural networks power most modern AI, so the basic idea helps you understand why these tools behave the way they do.
Software whose code is shared freely so anyone can read it, use it, and improve it.
Open source lets you learn from real projects and build on others' work instead of starting from zero.
The set of colors you pick to use across a project.
A planned palette keeps your work looking united instead of random, which makes it feel finished.
One of the tiny colored dots that screens use to build every image.
Everything on a screen is made of pixels, so understanding them helps you control how sharp your art looks.
The instruction or question you type to tell an AI what you want.
A clear prompt gets a better answer, so writing good prompts is one of the most useful AI skills.
An early, simple version of an idea built just to test whether it works.
A prototype lets you try an idea cheaply and fix problems before you build the real thing.
A new version of a song made by rearranging or changing parts of an existing one.
Remixing teaches you how songs are built by letting you take them apart and put them back together your way.
The step where a computer turns your project's data into a finished image or video you can watch.
Rendering produces your final file, so knowing it helps you plan for the time and quality you need.
How many pixels an image or video has, which sets how much fine detail it can show.
Higher resolution looks sharper but makes bigger files, so you balance quality against size for your project.
A row of simple sketches that plan out the shots of a video before you film them.
A storyboard helps you see your story in advance, so you catch problems before wasting time shooting.
The exact grammar and spelling rules a programming language needs to understand your code.
One wrong symbol can stop code from running, so learning syntax keeps small mistakes from blocking you.
How fast or slow a piece of music goes.
Tempo sets the energy of a song, so changing it can make the same notes feel calm or exciting.
A small chunk of text, often a word or part of a word, that an AI reads and writes one piece at a time.
AI limits and costs are counted in tokens, so knowing them helps explain why long inputs cost more.
A named container that holds a value your program can use and change later.
Variables let your code remember and update information, which is what makes programs able to do real work.
A saved snapshot of your project at a certain point, so you can track changes or go back.
Keeping versions means you can experiment boldly, knowing you can always return to what worked.
A plain, boxy sketch of a page or app that shows where things go before adding colors and art.
A wireframe lets you plan the layout first, so you fix the structure before spending time on looks.
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