|
gptkbp:instanceOf
|
large language model
|
|
gptkbp:abilities
|
medical reasoning
explanation of medical concepts
medical exam question answering
summarization of medical documents
|
|
gptkbp:announced
|
2023
|
|
gptkbp:basedOn
|
gptkb:PaLM_2
|
|
gptkbp:category
|
gptkb:artificial_intelligence
gptkb:insurance
generative AI
|
|
gptkbp:citation
|
Singhal et al., 2023
|
|
gptkbp:developedBy
|
gptkb:Google
|
|
gptkbp:domain
|
medical
|
|
gptkbp:evaluatedOn
|
gptkb:USMLE
MedQA
MultiMedQA
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Med-PaLM 2
|
|
gptkbp:language
|
English
multilingual
|
|
gptkbp:notForDirectPatientUse
|
true
|
|
gptkbp:openSource
|
true
|
|
gptkbp:outperformed
|
gptkb:Med-PaLM
|
|
gptkbp:platform
|
gptkb:Google_Cloud
|
|
gptkbp:purpose
|
medical research
clinical decision support
medical question answering
|
|
gptkbp:relatedTo
|
gptkb:PaLM_2
gptkb:Med-PaLM
|
|
gptkbp:safetyFocus
|
bias reduction
explainability
medical accuracy
|
|
gptkbp:trainer
|
gptkb:medicine
Tourism
medical textbooks
public medical datasets
|
|
gptkbp:usedBy
|
gptkb:Mayo_Clinic
gptkb:Google_Cloud
|
|
gptkbp:website
|
https://cloud.google.com/med-palm
|
|
gptkbp:bfsParent
|
gptkb:Med-PaLM
|
|
gptkbp:bfsLayer
|
6
|