Zero-shot adaptive prompting of large language models

Favorite Posted by Xingchen Wan, Student Researcher, and Ruoxi Sun, Research Scientist, Cloud AI Team Recent advances in large language models (LLMs) are very promising as reflected in their capability for general problem-solving in few-shot and zero-shot setups, even without explicit training on these tasks. This is impressive because in

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Shared by Google AI Technology November 2, 2023

Supporting benchmarks for AI safety with MLCommons

Favorite Posted by Anoop Sinha, Technology and Society, and Marian Croak, Google Research, Responsible AI and Human Centered Technology team Standard benchmarks are agreed upon ways of measuring important product qualities, and they exist in many fields. Some standard benchmarks measure safety: for example, when a car manufacturer touts a

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Shared by Google AI Technology October 26, 2023

Spoken question answering and speech continuation using a spectrogram-powered LLM

Favorite Posted by Eliya Nachmani, Research Scientist, and Alon Levkovitch, Student Researcher, Google Research The goal of natural language processing (NLP) is to develop computational models that can understand and generate natural language. By capturing the statistical patterns and structures of text-based natural language, language models can predict and generate

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Shared by Google AI Technology October 26, 2023

Acting on our commitment to safe and secure AI

Favorite News on our bug bounty program specific to generative AI and how we’re supporting open source security for AI supply chains View Original Source (blog.google/technology/ai/) Here.

Looking back at wildfire research in 2023

Favorite Posted by Yi-Fan Chen, Software Engineer, and Carla Bromberg, Program Lead, Google Research Wildfires are becoming larger and affecting more and more communities around the world, often resulting in large-scale devastation. Just this year, communities have experienced catastrophic wildfires in Greece, Maui, and Canada to name a few. While

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Shared by Google AI Technology October 25, 2023

Grammar checking at Google Search scale

Favorite Posted by Eric Malmi, Senior Research Scientist, and Jakub Adamek, Senior Software Engineer, Google, Bard Team Many people with questions about grammar turn to Google Search for guidance. While existing features, such as “Did you mean”, already handle simple typo corrections, more complex grammatical error correction (GEC) is beyond

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Shared by Google AI Technology October 25, 2023

Answering billions of reporting queries each day with low latency

Favorite Posted by Jagan Sankaranarayanan, Senior Staff Software Engineer, and Indrajit Roy, Head of Napa Product, Google Google Ads infrastructure runs on an internal data warehouse called Napa. Billions of reporting queries, which power critical dashboards used by advertising clients to measure campaign performance, run on tables stored in Napa.

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Shared by Google AI Technology October 20, 2023