Add to Favourites
To login click here
As large language models (LLMs) with generative AI applications become increasingly sophisticated, there is a growing concern about the potential for these models to produce inaccurate or misleading output, known as “hallucination”. To mitigate this risk, researchers are exploring several approaches, such as introducing more constraints on the model’s output, incorporating feedback from humans, and increasing transparency in AI models. While these solutions are promising, they are by no means foolproof, and it will be essential for researchers, developers, and policymakers to work together to address emerging issues and ensure that these technologies are used responsibly.