Summary:
- Language models, like the ones used in chatbots and virtual assistants, can sometimes generate responses that are not factually accurate or grounded in reality. This is known as "hallucination."
- Hallucination occurs when the language model generates text that seems plausible but is not actually based on real information. This can happen when the model is asked to generate text on a topic it doesn't have enough information about.
- Researchers at OpenAI are studying ways to improve language models and reduce the likelihood of hallucination, such as by training the models on more diverse data and developing techniques to better detect when the model is unsure of the correct answer.