AI vs ML vs GenAI: What’s the Difference for Students?

In today’s time, the most talked about topics are Artificial Intelligence, Machine Learning, and Gen-AI. All three fields are very popular, and have great career goals. And if you are from a tech background and want to build a tech career, then you have already become a part of this conversation. In this blog, we will talk about the same, what ML & AI are, and what the exact difference between them is. And there is a course at the Machine Learning and AI Institute in Delhi,  and a generative AI course in Delhi, from which you can understand the difference clearly. 

What is Artificial Intelligence (AI)?

First, know about AI, it is the broadest field among the other two. AI refers to machines that can act like humans, think, and even learn, to some extent. The main role of AI is problem-solving, understanding natural language, and decision-making.Examples:

• Self-Driving Cars
• Using assistants like Siri
• Its work is to detect fraud, and spam emails are kept away from the inbox.

We can say AI is like an umbrella, under which ML and GEN-AI fall.What is Machine Learning (ML)?Machine Learning is like subset of Artificial Intelligence. The work is to teach machines, to learn from data that are not programmed. How it works: First, you have to add data to a computer. Then ML finds patterns based on it to make decisions or predictions. Examples:

• Fraud detection in banking
• Google Maps shows an easy track, 
• Netflix suggests and recommends

In simple terms, if AI is the brain, then ML is the correct method to use that brain to learn. What is Generative AI (GenAI)?Now, come to Gen-AI, it is a special branch of AI. It helps to create fresh content, new images, engaging text, or even code. The way AI predicts and analyzes, Gen-AI creates something new every single time. Examples:

• Music AI tools composing songs
• ChatGPT, Gemini, give appropriate content
• DALL·E generating unique images

It is like Gen-AI is the creative hand of AI. This makes it popular among students.

Key Differences for Students

1. Scope
   
   

• AI: It has a broad range of Intelligent systems
• ML: It can learn data within AI
• GenAI: It can create content using AI models.
  
  

2. Skills Required
   
   

• AI: Under AI, some of the skills required such as data structures, solving algorithms.
• ML: Statistics, Python, and data science are the necessary skills under this field.
• GenAI: It needs creativity and prompt engineering
  
  

3. Career Paths
   
   

• AI: There are many career paths under this role, AI researcher, AI Engineer
• ML: Machine Learning also includes career opportunities such as ML Engineer, Analysts.
• GenAI:  It has too advanced developer jobs like Gen-AI Developer, Prompt Designer, and Content creator.

Conclusion

If you are planning to start your career in the field, then you should also understand the difference between all three. So, you can choose it the right way. AI is the big picture, and ML is how machines learn, and meanwhile Gen-AI is how machine creates. So, join the course, or through online tutorials, understand the difference, and start your journey.