Evaluation Language Test 
Google Research AI blog
JUNE 7, 2023
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.
Google Research AI blog
MAY 15, 2023
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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Fast Company Tech
MARCH 24, 2025
A small gap with huge consequences Existing research has shown that when customers submit evaluations, individual workers from ethnic minority groups are more likely to be negatively evaluated, even if their performance and quality is the same. Toward a more level playing field The shift isnt about letting customers off the hook.
Engadget
MARCH 13, 2025
All M4 Max models start with a decent 36GB of unified memory, though my test unit came with the maximum 128GB in a $3,699 configuration. It falls just below the Mac Studio with M2 Ultra on the multicore Geekbench 6 test. These specs align pretty closely with the MacBook Pro M4 Max but at a lower price, by the way.
The Verge
DECEMBER 8, 2021
Language generation is the hottest thing in AI right now, with a class of systems known as “large language models” (or LLMs) being used for everything from improving Google’s search engine to creating text-based fantasy games. Not all problems with AI language systems can be solved with scale.
TechCrunch
MAY 16, 2023
“Hippocratic has created the first safety-focused large language model (LLM) designed specifically for healthcare,” Shah told TechCrunch in an email interview. “The language models have to be safe,” Shah said. “The language models have to be safe,” Shah said.
Google Research AI blog
JANUARY 18, 2023
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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