ThoughtSource: A central hub for large language model reasoning data

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 are concer...

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Detalles Bibliográficos
Autores principales: Ott, Simon, Hebenstreit, Konstantin, Liévin, Valentin, Hother, Christoffer Egeberg, Moradi, Milad, Mayrhauser, Maximilian, Praas, Robert, Winther, Ole, Samwald, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409727/
https://www.ncbi.nlm.nih.gov/pubmed/37553439
http://dx.doi.org/10.1038/s41597-023-02433-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409727/
https://www.ncbi.nlm.nih.gov/pubmed/37553439
http://dx.doi.org/10.1038/s41597-023-02433-3

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