Preprint2023
PaLM 2
Unknown
PaLM 2 improves upon PaLM with multilingual training, multiple objectives, and enhanced reasoning, coding, and translation performance.
0May 1, 2023
arXiv
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5 papersPreprint2022
Flan T5, Flan PaLM
Unknown
Explores scaling instruction fine-tuning by increasing tasks, model size, and incorporating chain-of-thought data to improve language model performance.
0Oct 1, 2022Chain Of ThoughtScaling Laws
arXiv
Preprint2022
PaLM
Unknown
PaLM is a 540-billion parameter densely activated Transformer model trained efficiently across multiple TPU Pods using the Pathways system.
0Apr 1, 2022Transformers
JournalNature Medicine2025
Toward expert-level medical question answering with large language models
K. K. Singhal, Tao Tu, Juraj Gottweis, et al.
Med-PaLM 2 achieves expert-level medical question answering via LLM improvements, medical fine-tuning, and novel reasoning strategies, outperforming physicians on multiple axes.
1.0kJan 8, 2025Large Language ModelsFine Tuning
JournalNature2023
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, et al.
This paper presents MultiMedQA, a medical QA benchmark, and Med-PaLM, an instruction-tuned LLM that achieves state-of-the-art accuracy on medical exams but remains inferior to clinicians upon human evaluation.
4.7kJul 12, 2023Large Language ModelsPrompting
arXiv