We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities
and is more compute-efﬁcient than its predecessor PaLM (Chowdhery et al., 2022). PaLM 2 is a Transformer-based
model trained using a mixture of objectives similar to UL2 (Tay et al., 2023). Through extensive evaluations on English
and multilingual language, and reasoning tasks, we demonstrate that PaLM 2 has signiﬁcantly improved quality on
downstream tasks across different model sizes, while simultaneously exhibiting faster and more efﬁcient inference
compared to PaLM. This improved efﬁciency enables broader deployment while also allowing the model to respond
faster, for a more natural pace of interaction. PaLM 2 demonstrates robust reasoning capabilities exempliﬁed by large
improvements over PaLM on BIG-Bench and other reasoning tasks. PaLM 2 exhibits stable performance on a suite of
PaLM 2 Technical Report