Generative AI (GenAI) is a broad term for any type of AI system capable of using generative models to create new forms of humanlike creative content, like text, images, music, audio, video and more. 

Large language models (LLMs) are one type of GenAI since they generate text. However, not all GenAI systems are LLMs. GenAI models include various algorithms able to learn the various patterns and structures of input training data before generating novel outputs with similar characteristics.

The massive popularity of ChatGPT, perhaps the most successful proof of concept in technological history, has pushed GenAI enablement to the forefront of digital transformation discussions at all levels of the business, from the board to executives to lines of business. And for good reason. The versatility and potential of GenAI to transform various aspects of business operations make it an attractive investment for companies across industries.

GenAI is an exciting and rapidly evolving field with many benefits and opportunities for innovation. Yet there are also challenges and risks, including issues touching on data quality and privacy, ethics, bias and fairness, and the potential for misuse and abuse by bad actors.

WWT is committed to Responsible AI — the practice of designing, developing and deploying AI systems in a way that is safe, ethical and fair. By considering the downstream risks and benefits of AI systems from a holistic perspective, organizations can often mitigate prospective harm.

At WWT, we've been helping our clients and partners implement responsible business and technology solutions related to AI for years. Our practical approach helps organizations leverage the latest AI systems to achieve results while maturing their data strategy and high-performance architecture (HPA) capabilities.