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It’s a Sign: AI Platform for Teaching American Sign Language Aims to Bridge Communication Gaps

NVIDIA AI Blog

American Sign Language is the third most prevalent language in the United States but there are vastly fewer AI tools developed with ASL data than data representing the countrys most common languages, English and Spanish. Whether novice or expert, volunteers can record themselves signing to contribute to the ASL dataset.

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LLM Evaluation Metrics Made Easy

Machine Learning Mastery

Metrics are a cornerstone element in evaluating any AI system, and in the case of large language models (LLMs), this is no exception.

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Evaluating speech synthesis in many languages with SQuId

Google Research AI blog

Posted by Thibault Sellam, Research Scientist, Google Previously, we presented the 1,000 languages initiative and the Universal Speech Model with the goal of making speech and language technologies available to billions of users around the world. Such evaluation is a major bottleneck in the development of multilingual speech systems.

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Larger language models do in-context learning differently

Google Research AI blog

In “ Larger language models do in-context learning differently ”, we aim to learn about how these two factors (semantic priors and input-label mappings) interact with each other in ICL settings, especially with respect to the scale of the language model that’s used. targets) instead of natural language labels.

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5 ways to project enthusiasm in a job interview

Fast Company Tech

USE POSITIVE LANGUAGE Throughout your conversation, make sure to be positive with your language. Avoid negative or hesitant language, such as Im wondering, or I think, or I guess, or Im not sure.And avoid filler expressions like um, ah, and other nonstarters like thats a good question.

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PaLM-E: An embodied multimodal language model

Google Research AI blog

Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images based on text descriptions.

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An Evolution of Evaluation in Grantmaking With a Participatory Lens

sgEngage

Power Imbalance in Traditional Evaluation As grantmakers, we tend to monitor and evaluate our strategies and programs using metrics that we deem important. On its face, evaluation seems like a neutral activity, designed to help us understand what’s happened, and to change course where needed. Who decides what is measured?