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Why do LLMs make stuff up? New research peers under the hood.

Ars Technica

One of the most frustrating things about using a large language model is dealing with its tendency to confabulate information , hallucinating answers that are not supported by its training data.

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Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages

Google Research AI blog

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative , an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe.

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A vision-language approach for foundational UI understanding

Google Research AI blog

In “ Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus ”, accepted for publication at ICLR 2023 , we present a vision-only approach that aims to achieve general UI understanding completely from raw pixels. million mobile UI screens and 80 million web pages.

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4 keys to international expansion

TechCrunch

Some companies are global by default — think mobile gaming companies — or simply require language localization. A rush to crush an international competitor caused the demise of a would-be unicorn. A rush to crush an international competitor caused the demise of a would-be unicorn. billion market cap), Zalando ($21.2

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

Transform modalities, or translate the world’s information into any language. I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. We want to solve complex mathematical or scientific problems. Diagnose complex diseases, or understand the physical world.

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Leveraging AI for Personalized Member Engagement 

.orgSource

It can even understand written feedback and questions from members, thanks to its ability to process human language. AI bridges this gap, providing the tools to engage each member individually without straining internal resources. The result? More meaningful connections, a higher likelihood of renewal, and increased member loyalty.

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10 Digital Marketing & Fundraising Trends for Nonprofits in 2022

Nonprofit Tech for Good

1) Master the art of Plain Language. . Plain language is communication your audience can understand the first time they read or hear it. The Plain Language Movement started in the 1970s based on the idea to make it easier for the public to read, understand, and use government communications. Characteristics of Plain Language.

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