File:Generative AI- Greater Than the Sum of its Parts.pdf

Taking customer service to the next level with Virtual Humans and Large Language Models, a new age of virtual employees.

OpenAI has introduced generative AI to the masses with the introduction of ChatGPT, and it has become nothing short of a cultural phenomenon. This will be most people's first generative AI experience, but it won’t be their last. In its many forms, generative AI is set to transform countless aspects of business experiences and personal lives. Even more exciting is that when multiple generative AI models are combined, more powerful capabilities and experiences are enabled.

First, the answer to a general question, “What is generative AI?”

Let’s go to the source of all the buzz and ask ChatGPT to define generative AI. Itquickly responds with, “Generative AI, or Generative Artificial Intelligence, refersto a type of artificial intelligence that is capable of creating new data or content, such as images, videos, music, or text, that is original and does not exist in the training data.” First, the answer to a general question, “What is generative AI?” This blog highlights the possibilities enabled when combining video generation models of DeepBrain AI and text generation capabilities of Large Language Models (LLM). Before we talk about where we’re going, let's quickly recap where we are and what we have achieved to date. While generative AI is still in its infancy, and there’s no telling where the technology will take us, DeepBrain AI is already working with customers across multiple industries to support customer service initiatives through the deployment of its AI Avatar technology. Taking the financial industry as an example, DeepBrain AI has partnered with a number of institutions to deploy AI Human enabled kiosks and mobile apps to provide enhanced customer service capabilities for clients such as KB Bank, Shinhan Bank, Woori Bank, Hana Bank, NongHyup Bank, and Samsung Securities.