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Large language models aren’t trained on real-life conversations. As we encounter their language, it could affect our ownBecause of the way they are trained, large language models capture only a slice of human language. They’re trained on the written word, from textbooks to social media posts, and our speech as captured in movies and on […]
Contact sport | Showering in the dark | Clawdbot caper | Dubious duvets | Language for leaseholdersStephen Chicken chastises the Guardian for its use of “reached out”, presumably because it is a US colloquialism (Letters, 1 February). He suggests “contacted” instead. However, the Oxford English Dictionary gives the origin of “contact”, to get in touch
Let’s reach out to American English | Brief letters Read More »
In-person interactions break down barriers in east London, as AI startups also try to bridge communication divideWesley Hartwell raised his fists to the barista and shook them next to his ears. He then lowered his fists, extended his thumbs and little fingers, and moved them up and down by his chest, as though milking a
‘Coffee is just the excuse’: the deaf-run cafe where hearing people sign to order Read More »
Danyah Miller responds to a pass notes column about companies that are hiring people to ‘own the narrative’Your article on the rise of storytelling as a corporate skill (Pass notes, 17 December) highlights something that storytellers have always known – that people crave meaningful human connection. This is intensifying as we encounter a world awash
Storytelling is an ancient human art, not a corporate invention | Letters Read More »
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
Introducing Translator Copilot: Bridging Customers and Translators with AI Read More »
Machine translation (MT) has come a long way. From the early rule-based systems to the advent of neural networks, the field has seen remarkable advancements. For more than a decade, Unbabel has been at the forefront of this evolution, leveraging state-of-the-art technologies like quality estimation (QE) to enhance translation accuracy and fluency. However, despite all
TowerLLM, Unbabel’s GenAI for translation, ushers in the next era of machine translation Read More »
Localization is a cornerstone in marketing and in order to further explore best practices, we hosted a three-part webinar series focused on different marketing areas. In part one, we discussed best practices for localization in video including use of subtitles, voiceover and on-screen test while in part two, we focused on localization of websites. In
Best Practices in Marketing Localization Part Three: Localizing Written Content Read More »
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
Announcing Tower: An Open Multilingual LLM for Translation-Related Tasks Read More »
