Generative AI

What is generative AI?

Generative AI involves artificial intelligence that can produce new content by learning patterns from existing data. Unlike traditional AI, which focuses on analyzing and interpreting data, generative AI creates novel outputs that mimic the style and characteristics of the input data.

How does generative AI work?

Generative AI models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), are trained on large datasets. These models learn the underlying structure of the data and use this knowledge to generate new instances that resemble the training data. This process involves two components: a generator that creates new content and a discriminator that evaluates its authenticity.

Applications of generative AI in support

Generative AI enhances customer support by powering chatbots, automating responses, and personalizing interactions. It helps create knowledge base content, generate accurate replies, and streamline workflows. Additionally, it aids in sentiment analysis and predictive support, improving customer experiences and reducing agent workload.