Gen AI vs AI: What’s the Difference

Blog Overview

With the introduction of artificial intelligence in our lives, each task has become easier to execute, saving our time and energy. However, have you ever noticed that Gen AI and AI are two terms used separately? To answer this question, we have curated this blog that will help you understand the difference between Generative AI and Artificial Intelligence. From their features, examples, and use cases, we have all the information you need to know about them. 

Let’s understand what the actual difference between AI and GenAI is. 

What is Artificial Intelligence?

It’s been decades since AI has been around us. With the development of machine learning abilities and programming languages, AI has reached beyond human expectations. 

AI has evolved with programming rules (syntax) updates to machine learning features. It has improved our way of interaction and working. 

However, traditional AI faced stagnancy due to its rule-based operation model, i.e., it cannot handle complex tasks, unstructured data, and adapt to changing user behavior. 

The working process of AI is simple: 

You feed your query, AI analyzes it and searches for a relevant solution, and provides an answer accordingly. 

Voice assistants, chatbots, fraud detection systems, spam filters, etc., are some of the common examples of AI. 

However, we are always in search of something more, something better, which is why Generative AI (Gen AI) came into existence. 

What is Generative AI (Gen AI)?

Generative AI is a subfield of AI that is transforming our way of interaction. Whether you are a professional in any field or a student, AI has got your attention in some way or the other. 

Gen AI’s ability to understand user behavior, adapt to the thinking patterns of the user, and give solutions accordingly makes it a preferable choice to use. 

Unlike traditional AI, the working process of Gen AI is not so simple: 

Once the user feeds their question, Gen AI understands the user’s perspective, scans through numerous datasets accordingly, adapts to the user’s behavior, and provides the most relevant solution to their query. 

Moreover, Gen AI’s potential to generate, analyze, and improvise text, code, datasets, and visuals eases the workload of professionals. Thus, it is favored by many. 

Tools like Chat GPT-4, Dalle-E, etc. are examples of Gen AI.

Features of Artificial Intelligence and Generative AI

You have learnt about the basic meaning of these two twin terms till now, however, it is essential to know the different features AI and Gen AI have. 

Artificial Intelligence 

Deep Learning

It involves computers being trained to learn data just like humans do. 

Natural Language Processing (NLP)

NLP aims to train the computer to understand and use the data like humans do in spoken or written form. 

Logical Reasoning

The ability to analyze information and facts that offer conclusions for practical use.

Quantum Computing

It is used to solve difficult problems that cannot be handled by normal computer systems.

Artificial General Intelligence

It refers to training software in such a way that it acts intellectually like humans.  

Generative AI

Human-Like Content Generation

It can generate human-like text, code, database, and visual content. 

Scalabilty

It can accurately handle complex information without compromising on performance. 

Adaptability

It means adjusting to new information easily and efficiently. 

Creative Design Assistance

It helps in generating ideas for text, image, and video content. 

Industry Uses of AI and Generative AI

Moving ahead, understanding the uses of AI and Gen AI is essential to understand how they differ from one another. So, here are some use cases of AI and GAI.

Artificial Intelligence

AI in manufacturing: AI analyzes the data and streamlines operations using machine learning and deep learning neural networks. 

AI in Healthcare: AI helps doctors in accurate diagnoses and recommends effective treatment plans. 

AI in Finance sector: AI helps in fraud and risk management, promotes transparency, and automates operations. 

Gen AI

Gen AI in Marketing and Advertising: Gen AI helps in creating ad copies, text content, images, and videos. 

Gen AI in Virtual Reality and Gaming: Gen AI can create human-like characters for games, making the user experience dynamic. 

Gen AI in E-commerce: Gen AI offers customers with customized user experience by suggesting products according to their buying history. 

Conclusion

With artificial intelligence and generative AI taking over our repetitive tasks, we do get extra time to focus on more important things. 

Moreover, these techs are not actually different from one another, but Gen AI is just a better version of AI overall. 

Therefore, the Gen AI is the present, but the future of AI doesn’t stop here. There is more to come, from agentic AI to natural intelligence and more. Stay tuned!