1. Prepare the Data. The first step in training an AI model is preparing your data by collecting, cleaning, and preprocessing the information you will use to train the model.

The method used in the study to detect whether a model is likely to be confabulating is relatively simple. First, the researchers ask a chatbot to spit out a handful (usually between five and 10) ...

"Our algorithm can enrich the general language model of the AI with additional data from the relevant subject area of a question. In combination with the specific question, we can then extract ...

Having humans rate a language model’s outputs produced clever chatbots. OpenAI says adding AI to the loop could help make them even smarter and more reliable.

Why high-quality data are important for AI. We need a lot of data to train powerful, accurate and high-quality AI algorithms. For instance, ChatGPT was trained on 570 gigabytes of text data, or ...

Farquhar’s team decided to focus on one specific category of hallucinations, which they call “confabulations.” That’s when an AI model spits out inconsistent wrong answers to a factual ...