Video: What is the Difference between AI and Gen AI?

The use of artificial intelligence (AI) tools is no longer limited to non-academic activities. In fact, generative AI is slowly making its way into the everyday tasks of authors, researchers, and scientists. However, while gen AI has shown immense benefits in saving time and automating repetitive tasks, it is not truly suitable for conducting research.

In this video, our expert Dr. Sunaina Singh explains the difference between AI and generative AI, breaking down the two concepts in a clear and simple way so you can understand how they work and which one is more useful for a researcher.

• Artificial Intelligence systems analyze data, make predictions, automate tasks, and support decision-making. Think of spam filters, voice assistants, and fraud detection tools. The data is used to recognize patterns and provide outputs.
• Generative AI is a specialized branch of AI that creates new content. To “generate” output, these tools use models trained on large datasets. The results? You get human-like text, images, videos, music, and even code.

Discover how generative AI is expediting discoveries in areas such as drug development, diagnostics, and personalized medicine. But a word of caution! AI tools can generate many ideas quickly; yet not all outputs are useful. That’s why critical thinking remains essential.

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