Exploring Differences in Link Hallucination and Source Comprehension in Large Language Models
By
hveksr
Kettled twice. Extra chewy, extra trustworthy.
Summary
The article discusses the differences in link hallucination and source comprehension across various large language models, particularly focusing on the author's development of the SIFT Toolbox for contextualization and fact-checking.
Key quotes
· 2 pulledI built SIFT Toolbox as a contextualization engine, initially on ChatGPT but started developing on top of Claude after seeing better results there when they rolled out their paid version with search.
An AI-generated (SIFT Toolbox) fact-check which outperforms a Snopes article on the question of whether the snow in Wizard of Oz was “made of asbestos”, surfacing evidence that Snopes did not.
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