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Introducing Translator Copilot: Bridging Customers and Translators with AI  

2023, ai, AI (Artificial Intelligence), AI, Automation & Tech, Artificial Intelligence, Blog, Language, Large Language Model, LLM, Quality, Research, Translation Quality

Translator Copilot is Unbabel’s new AI assistant built directly into our CAT tool. It leverages large language models (LLMs) and Unbabel’s proprietary Quality Estimation (QE) technology to act as a smart second pair of eyes for every translation. From checking whether customer instructions are followed to flagging potential errors in real time, Translator Copilot strengthens […]

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Introducing Translator Copilot: Bridging Customers and Translators with AI  

2023, ai, AI (Artificial Intelligence), AI, Automation & Tech, Artificial Intelligence, Blog, Language, Large Language Model, LLM, Quality, Research, Translation Quality

Translator Copilot is Unbabel’s new AI assistant built directly into our CAT tool. It leverages large language models (LLMs) and Unbabel’s proprietary Quality Estimation (QE) technology to act as a smart second pair of eyes for every translation. From checking whether customer instructions are followed to flagging potential errors in real time, Translator Copilot strengthens

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Announcing Tower: An Open Multilingual LLM for Translation-Related Tasks

2023, ai, AI (Artificial Intelligence), AI, Automation & Tech, Artificial Intelligence, Blog, Language, Large Language Model, Localization & Translation, NLP and MT, Quality, Research, Translation, Translation Quality

Updated February 9, 2024 to include the newest iteration of Tower models. We are thrilled to announce the release of Tower, a suite of multilingual large language models (LLM) optimized for translation-related tasks. Tower is built on top of LLaMA2 [1], comes in two sizes — 7B and 13B parameters —, and currently supports 10

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What’s really driving Australia’s housing conversation right now?

ai, AI (Artificial Intelligence), Artificial Intelligence, Blog, Research

If there’s one topic Australians never tire of debating, it’s housing. Whether it’s at the pub, around the dinner table, or dominating headlines, property prices, rent hikes and the “can I ever afford a home?” questions are constant fixtures of the national conversation. But let’s be honest—rising house prices aren’t new. What is changing is

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A faster way to estimate AI power consumption

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Energy, Environment, Machine Learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering, Sustainability, Sustainable computing, Technology and society

Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12 percent of total U.S. electricity by 2028, according to the Lawrence Berkeley National Laboratory. Improving data center energy efficiency is one way scientists are striving to make AI more sustainable.Toward that goal, researchers from MIT and the

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Teaching AI models to say “I’m not sure”

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Electrical engineering and computer science (EECS), Machine Learning, MIT Schwarzman College of Computing, Research, School of Engineering

Confidence is persuasive. In artificial intelligence systems, it is often misleading.Today’s most capable reasoning models share a trait with the loudest voice in the room: They deliver every answer with the same unshakable certainty, whether they’re right or guessing. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have now traced that overconfidence to

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The social sciences need tools for the 21st century | Letters

ai, AI (Artificial Intelligence), Artificial Intelligence, Education, Higher education, Research, Social sciences

Readers respond to an editorial on difficulties with replicability of results in social science researchYour editorial on social science research (15 April) highlights the poor replicability of results, and the misuse of this by some to dismiss all social science. As was indicated, in a field as complex as human behaviour, poor replicability can be

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