Generative AI

Generative AI is a branch of artificial intelligence that emphasises on creating original material, including code, images, music, and literature. It operates by finding patterns in the data that already exist and using them to generate whole new outcomes. Popular models include transformer models like GPT (Generative Pre-trained Transformers) and generative adversarial networks (GANs). These models do a fantastic job of mimicking human creativity.

GANs consist of two networks: a discriminator that assesses the content and a generator that creates it. The quality of the content created is progressively improved by this adversarial process. After being trained on large text datasets, transformer models like GPT create new content by making consecutive word predictions.

Generative AI has numerous applications, including:

• Art and Design: Creating unique art and expanding creative possibilities.
• Content Creation: Automating text generation for businesses.
• Gaming and Entertainment: Designing game characters and environments.
• Healthcare: Assisting in drug discovery and medical research.
• Finance and Business: Supporting risk modeling and consumer behavior analysis.

However, there are also ethical questions raised by generative AI, including those pertaining to intellectual property and the possibility of abuse, such as the production of deepfakes and the dissemination of false information.

Generative AI will continue to transform sectors as the technology advances, but responsible application requires careful regulation and ethical concerns. Although its enormous potential presents obstacles that need to be carefully considered, it also opens up new creative and industrial opportunities.

Here, I will share top courses and discussions on generative ai. If you are looking to learn generative ai and use it in your work, these articles will be useful for you. 

Generative AI Courses

Discussions on Generative AI