AI models demonstrate impressive capabilities. But they are anything but perfect. Language models occasionally provide incorrect or incomplete answers. In order to be able to check AI content more quickly and efficiently, researchers have developed a system called SymGen.
Researchers at the Massachusetts Institute of Technology (MIT) have developed a system that makes it possible to check the answers of AI models more quickly and efficiently. This technology, called SymGen, could fundamentally change the process of reviewing AI-generated texts. At the same time, the work of human examiners could be reduced.
In healthcare, finance or other critical areas, the accuracy of AI is extremely important. SymGen therefore offers a solution to detect potential errors in the answers of large language models more quickly and effectively.
Quick checking of AI texts is intended to avoid hallucinations
Language models like ChatGPT or other large AI models are powerful, but are prone to “hallucinations”. This means that they sometimes generate incorrect or unsupported information even if the input data is correct. This uncertainty requires human reviewers to verify the AI answers against the sources used.
The challenge is that this process can be time-consuming and error-prone. When AI references long documents, humans have to search through them completely to validate the answer. This can be particularly problematic when AI is used in high-risk areas such as medicine or finance, where errors could have serious consequences.
Sources are highlighted quickly and effectively
With SymGen, reviewers should be able to more quickly view specific sources that a model has used. The core of SymGen is that it provides accurate quotes to AI answers. This allows a user to hover over highlighted passages of text and see exactly which data the model is based on. Unmarked areas signal that the information requires more in-depth review.
A key advantage of the approach is the ability to accurately identify which parts of an answer are correct and which may not be. In a comparison test with conventional methods, SymGen was able to reduce the time needed to review AI-generated texts by 20 percent.
The system represents a step forward in the verification of AI models and could facilitate the introduction of such models in highly sensitive areas – by increasing trust in their accuracy.
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Source: https://www.basicthinking.de/blog/2024/11/05/schnelle-ueberpruefung-von-ki-texten/
