How Generative AI Works

Generative AI models, such as LLMs, are trained on massive amounts of data to learn patterns and predict the next word or element in a sequence.

This process, similar to how babies learn language, involves feeding the model vast amounts of text and allowing it to iteratively refine its predictions through a process called backpropagation. Human feedback is also incorporated through reinforcement learning to further enhance the model's capabilities.