Google PaLM 2 is a large language model developed by Google that excels at advanced reasoning tasks, including code and math, classification, question answering, multilingual proficiency, and natural language generation. It is the successor to their previous state-of-the-art language model PaLM and is designed to surpass its predecessor in these areas. PaLM 2's improved performance can be attributed to a combination of three research advancements in large language models, including the use of compute-optimal scaling, a more diverse pre-training dataset mixture, and updated model architecture and objectives.
PaLM 2 has been evaluated rigorously for the potential harms and biases it could cause, and its downstream uses for research and in-product applications. It is grounded in Google's principles of responsible AI development and commitment to safety. PaLM 2 also demonstrates improved multilingual capabilities and has been pre-trained on a large quantity of webpage, source code, and other datasets, making it capable of coding in popular programming languages like Python and
TLDR: AI for Language modeling generates code for reasoning. Copy and paste these prompts into PaLM.