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What is PaLM 2?
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PaLM 2 FQA
- What is PaLM 2 used for?
- How is PaLM 2 different from previous language models?
- What programming languages can PaLM 2 generate code in?
- How was PaLM 2 built?
- What generative AI features is PaLM 2 powering?
PaLM 2 Use Cases
PaLM 2 can be used for advanced reasoning tasks, such as code and math, classification and question answering, translation and multilingual proficiency, and natural language generation.
PaLM 2 is particularly skilled at understanding nuances of the human language, including riddles and idioms.
PaLM 2 excels at multilingual translation tasks, thanks to its pre-training on parallel multilingual text and a diverse mixture of languages.
PaLM 2 is capable of coding in popular programming languages like Python and JavaScript, as well as specialized languages like Prolog, Fortran, and Verilog.
PaLM 2 was built using compute-optimal scaling, an improved dataset mixture, and updated model architecture and objective.
PaLM 2 has been evaluated rigorously for potential harms and biases, as well as its capabilities and downstream uses.
PaLM 2 is used in generative AI tools like the PaLM API, Bard, MakerSuite, and PaLM API in Vertex AI.
PaLM 2 powers generative AI features in Workspace, such as email summarization in Gmail and brainstorming and rewriting in Docs.
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