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Learn to learn before you teach
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And don't forget the python programming class will be ending in less than 24 hours and if i can't get the equivalent amount of people to register then the class will be canceled and all payments will be refunded automatically
I will peg it here
I believe with this I have been able to do justice to those three concepts
Let me Build a Simple Mental Picture
Think about a human employee.
AI Model = Skill
For example:
"This employee is excellent at recognizing objects."
LLM = Language skill
For example:
"This employee is excellent at understanding and producing language."
AI Agent = Employee doing a job
You tell the employee:
"Find the cheapest flight for me and prepare the itinerary."
The employee can use:
Their intelligence
A browser
A calendar
Databases
Email
Other software
and work toward completing the task.
The Difference in One simplified form
Here's the easiest way to remember it:
AI Model
A trained system that performs an AI task.
LLM
A type of AI model specialized in understanding and generating language.
AI Agent
A system that uses one or more AI models plus tools, memory/state, and decision-making loops to accomplish goals.
Suppose you tell an AI: "I want pizza for dinner."
LLM
The LLM might respond:
"Here are some popular pizza options: pepperoni, chicken, cheese..."
It gives you information.
AI Agent
An agent could potentially:
Understand that you want pizza.
Ask where you are if necessary.
Search available restaurants.
Check menus.
Compare prices.
Find suitable options.
Place an order through an appropriate service if authorized.
Track the order.
Now the system is taking actions toward a goal.
What is an AI Agent?
An AI Agent is an AI system designed to pursue a goal by:
Understanding the goal
Reasoning about what needs to be done
Choosing actions
Using tools when necessary
Observing the results
Continuing or changing its approach
Eventually completing the task
In simple words:
An AI model can provide intelligence. An AI agent uses intelligence to accomplish a goal.
Understanding the difference between Ai Model, Ai Agent and LLM
Now what is an AI Agent?
Imagine an LLM as a Very Smart Brain
Let's create a character called Brainy
Brainy is extremely good at understanding and generating language.
You ask Brainy: "What is 15 × 20?"
Brainy can answer: "300."
You ask:
"Explain what a database is." Brainy explains it.
You ask: "Write Python code for a calculator."
Brainy can generate code.
But note that Brainy may simply be responding to your request.
It isn't necessarily independently taking actions in the outside world.
That's where an AI Agent comes in.
ChatGPT and LLMs
When you chat with an AI such as ChatGPT, there is an LLM involved.
You type: "Explain Python to me."
The language model processes your request and generates a response.
But here's where many beginners become confused:
An LLM is NOT automatically an AI agent.
That's a very important distinction.
What Does an LLM Actually Learn?
An LLM doesn't learn exactly like a human child, instead, during training, it learns statistical patterns in language.
Modern LLMs learn extremely complicated relationships between words, concepts, structures, and patterns.
Think about two students at JusticeTech System Academy.
Student Amzy
Reads 10 books.
Student Zisky
Reads 10,000 books.
You will notice that student Zisky has potentially seen far more examples of language and information.
Similarly, large language models are trained using enormous datasets.
The word Large doesn't simply mean the computer is physically huge.
It generally refers to the enormous amount of data and computational resources involved in training modern language models, and often to the large number of learned parameters.
The most interesting question i feel you should ask is why is an LLM called "Large"?
What I mean by every LLM is a Ai model is that an LLM is a type of language-focus Ai model
So remember this and add it to your note archive
Every LLM is an AI model, but not every AI model is an LLM.
This is one of the most important things to understand.
