Who are the A-Team? (Components of Artificial Intelligence explained to a 9 year old)
In simple terms, here are the elements (with jargons) that creates what we know today as AI (Generative):
1. The Giant Library (The Data)
What it is: The first step is the Training Data. This is like every single book, article, story, website, and conversation the AI has ever read—which is a huge amount of the internet!
Job: This data is the food for the AI brain. It teaches the AI how humans talk, what things mean, and how sentences are put together.
Jargon:
- Data: Just a fancy word for information.
- Training Data: The specific information the computer uses to learn.
2. The Super Student (The Model)
What it is: The main structure of the AI, like a very organized school in the computer. It’s called a Large Language Model (LLM).
Job: This student doesn't just memorize the data; it finds patterns. It learns that after the words "Once upon a," the next word is probably "time." After reading billions of examples, it gets really, really good at guessing the most likely next word.
Jargon:
- Model: The smart tool the computer uses to make predictions.
- Large Language Model (LLM): "Large" because it's trained on tons of data. "Language" because it works with human words. "Model" because it's a smart math program that makes guesses.
3. The Brain Structure (The Neural Network)
What it is: This is the actual computer Algorithm that makes the Super Student smart. It’s called a Neural Network because it's inspired by your own brain!
Job: It's made of many tiny math calculators (like brain cells) layered on top of each other. When you ask a question, the question travels through these layers, and each layer helps turn the question into a better guess for the answer.
Jargon:
- Algorithm: A set of step-by-step instructions (like a recipe) the computer follows.
- Neural Network: Layers of little computer connections that work together to recognize patterns.
- Deep Learning: When a Neural Network has many, many layers—it's super deep!
4. The Translator (NLP)
What it is: This is the AI's special skill for understanding human talk. It's called Natural Language Processing (NLP).
Job: When you type "What is the capital of France?" the NLP part takes your human words and turns them into a special computer code (numbers) the Neural Network can understand. Then it translates the computer's answer back into a sentence for you!
Jargon:
- Natural Language Processing (NLP): How computers understand and talk in natural human language.
5. The Instruction Manual (The Prompt)
What it is: The Prompt is what you type to the AI.
Job: This is the most important part! It tells the AI exactly what you want it to do. If you say, "Write a silly story," the AI knows to use its language skills for a creative task, not a math problem.
Jargon:
- Prompt: The question or instruction you give to the AI.
You give the AI a Prompt (The Instruction Manual).
The NLP (The Translator) takes your words and turns them into computer numbers.
The Neural Network (The Brain Structure) uses the patterns it learned from the Training Data (The Giant Library).
The LLM (The Super Student) plays the ultimate guessing game, predicting the best word to come next, and then the next word, and the next, until it forms a whole sentence that answers your question!
In today's release, NetSuite has continue to grow features that use AI.
- SuiteAnswers
- Prompt Studio
- Text Enhance
- CPQ
- Gen AI API (SuiteScript)
- document capture and translation AI Module
- AI Connector Service
- NSAW
- NS EPM
- Bill Capture
- Intelligent Recommendations
- Exception Management
- Control Tower (Supply Chain)
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