Over the past decade of developing AI, we’ve learned that so much is possible as you scale up neural networks —
in fact, we’ve already seen surprising and delightful capabilities emerge from larger sized models. But we’ve
learned through our research that it’s not as simple as “bigger is better,” and that research creativity is key to
building great models. More recent advances in how we architect and train models have taught us how to unlock
multimodality, the importance of having human feedback in the loop, and how to build models more efficiently
than ever. These are powerful building blocks as we continue to advance the state of the art in AI while building
models that can bring real benefit to people in their daily lives.

Building on 
the-art language model with improved multilingual, reasoning and coding capabilities.

, today we’re introducing 

this work

PaLM 2

, our next generation language model. PaLM 2 is a state-of-
Google AI_ What to know about the PaLM 2 large language model