Defining, measuring and establishing LLM trustworthiness
· 5 min read
The primary use case for LLMs is Generative AI, based on a user providing an input, “a prompt,” which can be a text string or an image encoded into a series of tokens. The LLM then takes those tokens and predicts the next tokens that will most likely follow. The prediction or the generated information becomes the output of the LLM. This is all based on the data the LLM was pre-trained on and fine-trained on and the data or information used for reinforcement learning.
Question: Do we trust people to provide correct, accurate, and trustworthy information?