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PaLM (Pathways Language Model) is a 540 billion-parameter dense decoder-only transformer-based large language model (LLM) developed by Google AI. [1] Researchers also trained smaller versions of PaLM (with 8 and 62 billion parameters) to test the effects of model scale.

2024年4月18日 · PaLM 2 is a family of language models, optimized for ease of use on key developer use cases. The PaLM family of models includes variations trained for text and chat generation as well as text embeddings.

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2022年4月4日 · In “ PaLM: Scaling Language Modeling with Pathways ”, we introduce the Pathways Language Model (PaLM), a 540-billion parameter, dense decoder-only Transformer model trained with the Pathways system, which enabled us to efficiently train a single model across multiple TPU v4 Pods.

2024年4月11日 · The PaLM API is the legacy API that allowed developers access to Google's large language models such as text-bison-001. If you're just starting your journey with large language models, check out the Gemini API overview to access the latest API and models.

2023年5月10日 · PaLM 2 is a state-of-the-art language model with improved multilingual, reasoning and coding capabilities. Multilinguality: PaLM 2 is more heavily trained on multilingual text, spanning more than 100 languages.

2024年8月31日 · In this notebook, you'll learn how to get started with the PaLM API, which gives you access to Google's latest large language models. Here, you'll learn how to use the PaLM API's text generation features.