Built on version 2 of SeamlessM4T, the new open-source models boast state-of-the-art speech recognition and translation capabilities in up to 100 languages.
As the hottest summer ever experienced by homo sapiens approached its end at the Meta headquarters in California, the world’s ninth-largest corporation announced a new achievement for cyber sapiens: the introduction of SeamlessM4T — "the first all-in-one multimodal and multilingual AI translation model that allows people to communicate effortlessly through speech and text across different languages.”
TIME Magazine recognized three language-industry products in its “Best Inventions of 2023” list, underscoring the importance of multilingual communication, accessibility, and inclusion in today’s globalized world.
A bug in Instagram’s auto-translate feature is highlighting the problem of bias in multilingual language models (MLMs) and the need for more transparency from companies that employ them.
The number of publicly available LLMs has skyrocketed in recent months, as developers rush to get their piece of the pie. PaLM, GPT-4, Claude, and now Llama 2.
MultiLingual recently caught up with the company’s CEO, Marco Trombetti, to learn a little bit more about what it took to increase the number of languages offered on ModernMT by nearly four times what it previously was.
Currently, Meta’s speech-to-speech translator only allows users to translate one sentence at a time, however the company stated that its progress in other unsupervised learning projects could help refine the technology.
Amazon, Google, Meta, Microsoft, and Apple may have competing interests, but they’ve recently found one thing to work together on: All five of these big tech companies have joined forces to support the Speech Accessibility Project at the University of Illinois at Urbana-Champaign (UIUC).
Meta received some harsh words from frustrated Spanish speakers after a shaky international rollout of its game Horizon Worlds.
The announcement comes just a few months after the company announced that it would begin a project to develop a machine translation (MT) tool that can translate the majority of the world’s 7,000 or so languages.
Unlike many other large language models, OPT-175B will be available for free to all researchers or institutions that request access. The company notes that this effort is an attempt to “democratize” large language models, which will allow for further research into the models’ potential benefits — and dangers — to society.