QR-koodi

ThoughtSource: A central hub for large language model reasoning data

Abstract Large language models (LLMs) such as GPT-4 have recently demonstrated impressive results across a wide range of tasks. LLMs are still limited, however, in that they frequently fail at complex reasoning, their reasoning processes are opaque, they are prone to ‘hallucinate’ facts, and there a...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Simon Ott, Konstantin Hebenstreit, Valentin Liévin, Christoffer Egeberg Hother, Milad Moradi, Maximilian Mayrhauser, Robert Praas, Ole Winther, Matthias Samwald
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Portfolio 2023-08-01
Sarja:Scientific Data
Linkit:https://doi.org/10.1038/s41597-023-02433-3
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!