PaLM 2 Google launches PaLM 2, our next generation large language model, that builds on Googles legacy of breakthrough research in machine learning and responsible AI.

We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 is a Transformer-based.

Why were developing AI We believe that AI, including its core methods such as machine learning (ML), is a foundational and transformational technology. AI enables innovative new uses of.

Understanding the Context

Discover how Google AI is committed to enriching knowledge, solving complex challenges and helping people grow by building useful AI tools and technologies.

Create innovative tools (e.g. for safety) to keep pace with AI technologies. Continuously perform adversarial and related forms of testing. Through these processes, we take a diferentiated and careful.

Creamos herramientas innovadoras (p. ej., para la seguridad) con el objetivo de estar a la altura de las tecnologas de IA. Continuamente realizamos pruebas adversarias y relacionadas. Mediante estos.

The fact that AI carries risks, alongside enormous benefits, is increasingly recognized by the private sector as well as policymakers and civil society. AI principles, governance proposals, and regulations have.

Key Insights

AI AI Google ().

These complement other structured transparency artifacts, such as model cards. Examples of externally available model and data cards for recent Google large models include the Parti/Imagen data card64.

Namun, kami memahami bahwa AI, sebagai teknologi yang masih berkembang, memiliki berbagai kompleksitas dan risiko yang akan terus berubah. Kami harus mengatasi risiko ini dalam pengembangan.

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