Generative Artificial Intelligence

Why in News?

• Recently, the use of Generative Artificial Intelligence (GAI) is still in its early stages but its impact is likely to grow as technology continues to evolve and improve.

Highlights

• GAI is a rapidly growing branch of AI that focuses on generating new content (such as images, audio, text, etc.) based on patterns and rules learned from data.
• The rise of GAI can be attributed to the development of advanced generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
• These models are trained on large amounts of data and are able to generate new outputs that are similar to the training data. For example, a GAN trained on images of faces can generate new, synthetic images of faces that look realistic.
• While GAI is often associated with ChatGPT and deep fakes, the technology was initially used to automate the repetitive processes used in digital image correction and digital audio correction.
• Arguably, because machine learning and deep learning are inherently focused on generative processes, they can be considered types of GAI, too.
• It can be used to generate new works of art that are unique and innovative, helping artists and creatives explore new ideas and push the boundaries of traditional art forms.
• DeepDream Generator – An open-source platform that uses deep learning algorithms to create surrealistic, dream-like images.
• DALL·E2 – This AI model from OpenAI generates new images from text descriptions.
• As per NASSCOM data, the overall AI employment in India is estimated at about 416,000 professionals.
• The growth rate for the sector is estimated at about 20-25%. Further, AI is expected to contribute an additional USD 957 billion to India’s economy, by 2035