Abhishek Gupta

Posted on Jul 10

Master AI: From Beginner to Advanced 🚀

Hello everyone! 👋

Have you ever used AI tools like ChatGPT, Gemini, Claude, GitHub Copilot, Perplexity, Microsoft Copilot, or others?

Today, AI is becoming a part of our daily lives. Students use it for learning, developers use it to write code, designers use it to generate images, and businesses use it to automate work.

But have you ever wondered...

How does AI actually work?

How can it answer our questions in just a few seconds?

Can AI answer every question in the world?

In this series, we'll learn everything about Generative AI, starting from the basics and gradually moving to advanced concepts.

🤖 What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) is a technology that enables computers and machines to perform tasks that normally require human intelligence.

These tasks include:

Learning from data
Understanding language
Solving problems
Recognizing images
Writing content
Answering questions
Making predictions
Assisting humans in decision-making

In simple words,

AI is a system that learns from data and uses what it has learned to solve problems or generate responses.

🧠 How Does AI Learn?

Before an AI tool like ChatGPT, Gemini, Claude, or GitHub Copilot can answer your questions, it first needs to learn.

But unlike humans, AI doesn't go to school, attend classes, or read books like we do.

Instead, AI learns by being trained on a huge amount of data.

This data can include:

📚 Books
📰 Articles
🌐 Websites
📄 Research papers
💻 Programming code
📘 Documentation
💬 Public conversations
🖼️ Images
🎥 Videos
🎧 Audio

You can think of this as giving AI access to a very large digital library with information on many different topics.

During training, AI reads and analyzes all this data.

It doesn't try to memorize every sentence or every answer.

Instead, it learns patterns.

For example, it learns:

How people write and speak.
How grammar works.
How to solve different types of problems.
How programming languages are written.
How different ideas are connected.

The more high-quality data AI learns from, the better it becomes at understanding questions and generating useful answers.

📌 In Simple Words

Imagine you've read 1,000 books.

When someone asks you a question, you don't remember every word from those books.

Instead, you use the knowledge you've gained to think and answer.

AI works in a similar way.

It learns from a huge amount of information and then uses what it has learned to generate the best possible response.

AI doesn't simply memorize answers—it learns from lots of data, finds patterns, and uses those patterns to answer new questions.

👦 Let's Understand AI with a Simple Example

Imagine there's a boy named Ram.

Ram studies in a school where he learns:

Mathematics
Science
English
Social Studies

However, his school does not have a Computer Science subject.

After school, Ram also doesn't watch computer tutorials, read programming books, or learn from the internet.

Now imagine someone asks Ram:

"What is JavaScript?"

"How does a computer work?"

Can Ram answer these questions?

The answer is No.

Why?

Because Ram has never learned anything about computers.

He cannot answer questions about a topic he has never studied.

🤖 AI Learns in a Similar Way

AI learns in a way that's similar to how humans learn.

If an AI has never learned about a particular topic during its training, it may not be able to give the correct answer.

For example, if you ask it about something completely new that wasn't part of its training data, it might give an incorrect answer or say that it doesn't know.

However, modern AI is much more powerful than a simple question-and-answer machine.

Instead of memorizing answers, it learns patterns from the data it was trained on.

This allows AI to:

🧠 Understand your question.
🔗 Connect different pieces of knowledge.
💡 Use logic to answer questions it has never seen before.
🌐 Sometimes use the internet or other tools (if available) to find up-to-date information.

📌 In Simple Words

Think of AI as a student who has studied millions of books.

Even if the student has never seen your exact question before, they can often use what they've learned to think, connect ideas, and give a meaningful answer.

That's why AI can answer many new questions—but it can still make mistakes, especially when the information is missing, unclear, or outside what it has learned.

📚 Does AI Know Everything?

No.

AI does not know everything.

It has limitations.

For example:

It may not know very recent events if it hasn't been updated or connected to live information.
It can make mistakes or "hallucinate" incorrect information.
It may misunderstand unclear questions.
It can only answer based on what it has learned and the information available to it.

That's why it's always a good idea to verify important information from trusted sources.

Here's a beginner-friendly section with a simple ASCII diagram that explains the complete flow from a user's prompt to an AI's response. It also clarifies what LLMs and SLMs are.

🧠 How Does AI Answer Your Questions?

When you ask a question to an AI like ChatGPT, Gemini, Claude, or GitHub Copilot, a lot happens behind the scenes.

Let's understand the complete process step by step.

📌 Step 1: You Give a Prompt

Everything starts with a Prompt.

A prompt is simply the instruction, question, or message you give to the AI.

Examples

What is Artificial Intelligence?

Write a Python program to reverse a string.

Explain Newton's First Law in simple words.

The better your prompt is, the better the AI can understand what you want.

📌 Step 2: AI Understands Your Prompt

After receiving your prompt, the AI analyzes it.

It tries to understand:

What are you asking?
What information do you need?
What language should it respond in?
Should it explain, summarize, write code, or solve a problem?

This step helps the AI determine the best way to answer your request.

📌 Step 3: AI Uses What It Learned During Training

Before AI can answer questions, it must first be trained.

During training, it learns from a huge amount of data, such as:

📚 Books
🌐 Websites
📰 Articles
📄 Research papers
💻 Programming code
📘 Documentation
💬 Public conversations
🖼️ Images
🎥 Videos
🎧 Audio

Instead of memorizing every sentence, the AI learns patterns, relationships, and how language works.

When you ask a question, it uses those learned patterns to generate the most appropriate response.

📌 Step 4: AI Generates a Response

Finally, the AI predicts the next words one by one until it forms a complete answer.

It doesn't search through a giant list of stored answers.

Instead, it creates a new response based on everything it learned during training.

This is why AI can answer questions it has never seen before.

🤔 What is an LLM?

LLM stands for Large Language Model.

An LLM is an AI model trained on a very large amount of text data.

Examples include:

ChatGPT (GPT models)
Gemini
Claude
Llama
DeepSeek
Mistral

Because they learn from vast amounts of data, they can:

Answer questions
Write code
Translate languages
Summarize documents
Generate emails
Explain concepts
Solve many different tasks

Think of an LLM as a student who has read millions of books and documents.

🤏 What is an SLM?

SLM stands for Small Language Model.

It works the same way as an LLM, but it has fewer parameters and is trained to be smaller and more efficient.

SLMs are designed for:

📱 Mobile phones
💻 Laptops
🤖 Edge devices
🚗 Smart devices
Offline AI applications

Because they are smaller, they:

✅ Use less memory

✅ Are faster

✅ Cost less to run

But they may not perform as well as large models on very complex tasks.

Examples include Microsoft's Phi family and Google's Gemma family (smaller variants).

📊 LLM vs SLM

Feature	LLM (Large Language Model)	SLM (Small Language Model)
Model Size	Very Large	Small
Training Data	Huge	Smaller
Parameters	Billions (sometimes trillions in mixtures)	Millions to a few billion
Accuracy	Usually higher	Good for many tasks, but generally lower on complex reasoning
Speed	Slower	Faster
Memory Usage	High	Low
Cost	Higher	Lower
Best For	Complex reasoning, coding, research, writing	Mobile apps, edge AI, offline assistants

🚀 What Can AI Do?

Artificial Intelligence (AI) can perform many tasks that normally require human intelligence. It can understand information, learn patterns, solve problems, and help people work faster and smarter.

Here are some of the most common things AI can do:

💬 1. Answer Questions

AI can answer questions on almost any topic, such as:

Science
Mathematics
History
Geography
Programming
Business
Health (general information)
Technology

Example:

What is Artificial Intelligence?

Explain Newton's First Law.

✍️ 2. Write Content

AI can generate different types of written content, including:

Blogs
Articles
Emails
Essays
Stories
Reports
LinkedIn posts
Social media captions
Product descriptions

Example:

Write a LinkedIn post about Machine Learning.

💻 3. Write and Explain Code

AI can help developers by:

Writing code
Fixing bugs
Explaining code
Optimizing programs
Building websites
Creating APIs

It supports many programming languages, including:

Python
JavaScript
Java
C++
C#
Go
Rust
TypeScript
PHP
SQL

🌍 4. Translate Languages

AI can translate text between many languages.

For example:

English → Hindi
Hindi → English
English → French
English → Japanese

It can also explain difficult words in simple language.

📄 5. Summarize Documents

AI can quickly read long documents and provide a short, easy-to-understand summary.

Examples include:

Research papers
PDFs
Books
Reports
Meeting notes

📊 6. Analyze Data

AI can analyze large amounts of data and identify patterns.

It can help with:

Sales analysis
Business reports
Customer insights
Predictions
Trend analysis

🖼️ 7. Generate Images

Modern AI can create images from text descriptions.

For example:

"Create an image of a futuristic smart city."

It can also:

Edit photos
Remove backgrounds
Change image styles
Create logos
Design posters

🎥 8. Generate Videos

AI can create videos from text or images.

It can:

Generate animations
Create educational videos
Produce marketing videos
Create AI avatars
Generate short clips

🎙️ 9. Understand and Generate Speech

AI can:

Convert speech into text
Convert text into speech
Recognize different voices
Translate spoken language
Create natural-sounding voices

🤖 10. Build AI Assistants

AI can work as a personal assistant that helps with daily tasks.

For example, it can:

Schedule meetings
Answer emails
Set reminders
Search for information
Organize tasks
Help manage projects

🎓 11. Help Students Learn

AI is an excellent learning companion.

It can:

Explain difficult topics
Solve math problems
Generate quizzes
Create study notes
Prepare interview questions
Help with assignments

🏥 12. Help Different Industries

AI is used in many industries, including:

🏥 Healthcare
🏦 Banking
🛒 E-commerce
🚗 Automotive
🎮 Gaming
📚 Education
✈️ Travel
🎬 Entertainment
🌾 Agriculture
🏭 Manufacturing

⚡ 13. Automate Repetitive Tasks

AI can save time by automating repetitive work.

Examples:

Data entry
Email replies
Customer support
Invoice processing
Report generation
Document classification

💡 In Simple Words

Think of AI as a smart assistant.

It can:

📖 Learn from data
💬 Answer questions
✍️ Write content
💻 Write code
🌍 Translate languages
📄 Summarize information
📊 Analyze data
🖼️ Generate images
🎥 Create videos
🎙️ Understand speech
🤖 Automate tasks
🎓 Help you learn

🧠 Examples of AI Around Us

🧪 Practice Activity: Compare Different AI Models

Now it's time for a fun activity! 🎉

Don't just read about AI—experience it yourself.

Open any three AI tools:

🤖 ChatGPT
💎 Gemini
🧠 Claude
🇮🇳 Sarvam AI
💻 GitHub Copilot (for coding)
🔍 Perplexity AI

Now copy the same prompt into each AI and compare their answers.

You'll notice something interesting...

👉 Every AI gives a different answer!

Let's see why.

📝 Prompt 1: Learning

Explain Artificial Intelligence in simple words with a real-life example.

Observe:

Which AI gives the simplest explanation?
Which one gives the best example?
Which answer is easiest to understand?

💻 Prompt 2: Coding

Write a Python program to check whether a number is prime and explain each line of code.

Observe:

Which AI writes cleaner code?
Which explanation is easier to understand?
Which one teaches you better?

✍️ Prompt 3: Creative Writing

Write a short motivational story about a student who learns AI from scratch and becomes an AI Engineer.

Observe:

Which story is more creative?
Which one feels more inspiring?
Which writing style do you like the most?

🤔 Why Does Every AI Give a Different Answer?

This is one of the most common questions beginners ask.

"If I asked the same question, why didn't every AI give the same answer?"

The answer is simple.

Every AI is built differently.

Think of it like this...

Imagine three students preparing for the same exam.

Student A studies from Book A.
Student B studies from Book B.
Student C studies from Book C.

Now ask all three students the same question.

Will they all give exactly the same answer?

No.

Even though the question is the same, each student explains it differently because they learned from different books and have different ways of understanding the topic.

AI works in a very similar way.

🤖 Why Are AI Models Different?

There are several reasons:

📚 1. Different Training Data

Every AI learns from different collections of data.

Some models learn more from programming content.

Some learn more from books.

Some are better at conversations.

So each model gains different strengths.

🧠 2. Different Model Design

Every company builds its AI differently.

For example:

OpenAI built ChatGPT.
Google built Gemini.
Anthropic built Claude.
Sarvam AI is developed with a focus on Indian languages and use cases.

Each company uses its own technology and methods to train its model.

⚙️ 3. Different Training Methods

After learning from data, companies continue improving their AI.

They teach it how to:

Follow instructions better
Write more naturally
Solve problems
Write code
Stay safe and helpful

That's why some AI models give short answers, while others give detailed explanations.

🌐 4. Different Features

Some AI models can:

Search the internet
Read PDFs
Understand images
Generate images
Write code
Analyze files

Others may not support all of these features.

This also affects the quality and style of their answers.

💡 Which AI Is the Best?

There is no single "best" AI.

Every AI has its own strengths.

🤖 ChatGPT is excellent for coding, learning, and detailed explanations.
💎 Gemini works well with Google's ecosystem and multimodal tasks.
🧠 Claude is known for long documents and thoughtful writing.
💻 GitHub Copilot is specialized for programming.
🇮🇳 Sarvam AI focuses on Indian languages and local AI applications.

The best AI depends on what you want to do.

🎯 Your Challenge

Try all three prompts using three different AI models.

Then compare:

✅ Which AI explained the topic better?

✅ Which AI wrote the best code?

✅ Which AI was the most creative?

✅ Which answer did you understand the most?

There is no right or wrong answer.

The goal is to understand that every AI model has its own strengths and limitations.

The more AI tools you explore, the better you'll understand how Generative AI really works.

Don't rely on just one AI model. Try different models, compare their responses, and choose the one that best fits your task. That's what experienced AI users do! 🚀