We Asked ChatGPT Questions About the Language Industry…It Had a Lot to Say
OpenAI disrupts the AI and LLM space once again with ChatGPT, reaching over one million users in just five days. See what the app told Slator about the language industry.
OpenAI disrupts the AI and LLM space once again with ChatGPT, reaching over one million users in just five days. See what the app told Slator about the language industry.
Very fluent but not yet highly accurate — this is how Google researchers describe machine translation performance of large language models versus state-of-the-art MT.
How we used a script from ChatGPT, an avatar from Synthesia, and captions from Descript to produce an AI-generated video.
Snapshot of the most interesting language technology highlights from the latest edition of the State of AI Report compiled by a group of venture capitalists and researchers.
Nick Frosst on his journey to co-founding Cohere, which aims to become the default platform for NLP development; and what he thinks of the latest breakthroughs in generative AI.
Adapt Center’s Yasmin Moslem on how to deploy large language models to generate domain-specific training text for machine translation — and why it matters for LSPs.
NLP technologies drive the evolution of localization, turning jargon into common terms used to manage today’s ops and tomorrow’s strategic plans. Here are five NLP terms.
Open-sourcing large language models is catching on among tech giants, such as Google and Meta. Now comes BLOOM, whose 1,000 contributors designed it with multilingualism in mind.
Reverso CEO, Theo Hoffenberg, talks about their suite of linguistic tools, the App Store as a multiplier, and the current hype around large language models.
Cohere, OpenAI, and AI21 Labs publish preliminary set of best practices applicable to any organization developing or deploying large language models.
Large pretrained language models (PLMs) memorize lots of personal data. Researchers examine data privacy risks associated with PLMs, propose solutions.
Meta AI wants to make large language models more accessible to researchers with the release of OPT-175B; advocates R&D transparency and a “research mindset.”
What does Google’s 540-billion parameter language model, PaLM, mean for machine learning and the language industry? Experts weigh in.