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Researchers in China developed a hallucination correction engine for AI models

Published 10/25/2023, 01:42 PM
Updated 10/25/2023, 03:20 PM

A team of scientists from the University of Science and Technology of China and Tencent’s YouTu Lab have developed a tool to combat “hallucination” by artificial intelligence (AI) models.

Hallucination is the tendency for an AI model to generate outputs with a high level of confidence that don’t appear based on information present in its training data. This problem permeates large language model (LLM) research, and its effects can be seen in models such as OpenAI’s ChatGPT and Anthropic’s Claude.

In each of the above examples, an LLM hallucinates an incorrect answer (green background) to prompting (blue background). The corrected Woodpecker responses are shown with a red background. Source: Yin, et. al., 2023

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