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Generates text. Optimized for language tasks such as: Code generation, Text generation, Text editing, Problem solving, Recommendations generation and Information extraction.
The PaLM 2 for Text (text-bison) foundation model is optimized for a variety of natural language tasks such as sentiment analysis, entity extraction, and content creation. The types of content that the PaLM 2 for Text model can create include document summaries, answers to questions, and labels that classify content.
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The PaLM for Text models, known as text-bison and text-unicorn, are tailored for various natural language tasks like sentiment analysis, entity extraction, summarization, and answering questions. These models efficiently generate document summaries, classify content, and provide accurate answers, making them versatile tools for text-related applications.
Ideal for tasks requiring single-API responses, PaLM for Text excels in tasks such as summarization, question answering, classification, sentiment analysis, and entity extraction. Whether you need to condense content, automate FAQ creation, label text, determine sentiment, or extract specific information from text, these models offer precise and efficient text processing solutions.
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