Remove Language Remove Test Remove Train
article thumbnail

Explaining Tokens — the Language and Currency of AI

NVIDIA AI Blog

Under the hood of every AI application are algorithms that churn through data in their own language, one based on a vocabulary of tokens. AI factories a new class of data centers designed to accelerate AI workloads efficiently crunch through tokens, converting them from the language of AI to the currency of AI, which is intelligence.

Language 100
article thumbnail

Retrieval-augmented visual-language pre-training

Google Research AI blog

Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team Large-scale models, such as T5 , GPT-3 , PaLM , Flamingo and PaLI , have demonstrated the ability to store substantial amounts of knowledge when scaled to tens of billions of parameters and trained on large text and image datasets.

Language 113
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

Language 140
article thumbnail

Larger language models do in-context learning differently

Google Research AI blog

In general, models’ success at in-context learning is enabled by: Their use of semantic prior knowledge from pre-training to predict labels while following the format of in-context examples (e.g., We test five language model families, PaLM , Flan-PaLM , GPT-3 , InstructGPT , and Codex. 90% → 22.5% for code-davinci-002).

Language 134
article thumbnail

The most innovative companies in artificial intelligence for 2025

Fast Company Tech

Previously, the stunning intelligence gains that led to chatbots such ChatGPT and Claude had come from supersizing models and the data and computing power used to train them. The big AI labs would now need even more of the Nvidia GPUs theyd been using for training to support all the real-time reasoning their models would be doing.

Companies 110
article thumbnail

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.

Language 132
article thumbnail

New York metro transit systems add on-demand sign language interpreters

Engadget

Youre riding the subway to work, and suddenly the train stops. But for Jarrod Musano, being stuck on a southbound 6 train that had lost power, there was little relief. Musano is the CEO of Convo , a company that was founded in 2009 and connects people with sign language interpreters on demand.

New York 109