Six Strategies to Prepare for Trusted Generative AI

The magic of large language models Generative AI involves sophisticated deep learning algorithms that produce various content, including text, images, code, voice, and video. Its foundation rests on large language models (LLMs), and extensive neural networks surpassing traditional AI in complexity and capability.

Unlike traditional neural networks focused on prediction and pattern recognition, LLMs use self-supervised training to generate new content. The shift from simple classification and prediction to the ability to self-train enables a more dynamic understanding of data relationships. Generative AI is faster, more creative, and more adaptable than traditional neural networks.