AI, a subset of artificial intelligence, has seen exponential growth in recent years. From generating realistic images and text to creating music and even coding, generative AI is pushing the boundaries of what machines can create. The rise of models like GPT-4 and beyond has opened up new possibilities in content creation, automation, and problem-solving.

Key Applications:

Content Creation: Automating the generation of text, images, and videos. Software Development: Assisting in writing and debugging code.

Healthcare: Generating synthetic medical data for research and diagnosis.

Challenges: While generative AI offers immense potential, it also raises ethical concerns, particularly around misinformation, intellectual property, and job displacement 

Shabana Salmani

Assistant Professor(Computer Science Engineering)

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