PaLM 2

Language modeling generates code for reasoning.

PaLM 2 is a large language model developed by Google, succeeding their previous state-of-the-art language model. The improved performance of PaLM 2 is due to three advancements in large language models: compute-optimal scaling, a diverse pre-training dataset mixture, and updated model architecture and objectives. Moreover, it was evaluated for potential harms and biases it could cause before its deployment for in-product applications. PaLM 2's multilingual capabilities have been enhanced through pre-training on a vast array of datasets such as webpages, source code, and more. This allows it to be proficient in popular programming languages like Python and JavaScript as well as generating specialized code for languages like Prolog, Fortran, and Verilog. PaLM2 also excels at understanding figurative meanings in human speech which makes it capable of comprehending idioms and riddles with ease.

Google has made use of the improvements offered by PaLM2 to develop generative AI features like Bard that help with creative writing tasks as well as the PaLM API which provides an environment for developing generative AI applications. All these initiatives are guided by Google's principles of responsible AI development that ensure safety while building AI systems. Additionally, this language model has been tested rigorously so that harmful biases do not arise from its downstream uses in research or product applications. Thus the development of PaLM 2 is grounded in Google's commitment to deploying safe AI solutions responsibly.

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