Discover what’s new in the field of natural language processing, from ground-breaking research in academia to Big Tech’s developments.
New research by OpenAI and University of Pennsylvania: GPT-4 and human annotators quantify the overlap between LLM capabilities and tasks for more than 1,000 jobs.
OpenAI releases its much anticipated GPT-4 large language model. Here’s a short primer on its language, problem-solving, and multimodal capabilities for real-world applications.
Breakthroughs in multilingual speech models are rapidly expanding language coverage for ASR. But what about endangered languages with little to no training data?
We knew Microsoft's text-to-speech model VALL-E can mimic a voice with little training data. Now VALL-E X adds translation, foreign accent control, emotion maintenance, and more.
The Slator Language AI 50 Under 50 List puts the spotlight on fifty of the newest players in the language AI and technology landscape, including AI dubbing, AI writing, and voice AI.
As the race in all things language AI heats up, Google discloses more details about its Universal Speech Model that the search giant claims supports over 1,000 languages.
Researchers test BLOOM’s capabilities for producing good quality machine translation. They find that training the large language model makes a big difference for all language pairs.
Researchers at Microsoft conduct experiments comparing large language model GPT to other MT systems. One GPT stands out with high-resource languages. None do with low-resource languages.
Meta AI researchers experimented with dictionary data prompting on known LLMs in order to improve MT. Results look promising for rare words and domain transfer.
Researchers revisit controlled language as a means of improving MT quality. A new methodology based on stylistic quality is said to eliminate repeated fine tuning.
The open-source platform helps users build and refine datasets without hand-labeling training examples. Funding round co-led by Caixa Capital Risc and Zetta Venture Partners.
Maveria Advisory and Slator acted as the joint exclusive sell-side advisors to Repustate, a sentiment analysis and natural language processing company, in its sale to Sprout Social, the leading social media management software.
How we used a script from ChatGPT, an avatar from Synthesia, and captions from Descript to produce an AI-generated video.
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.
Meta has released SpeechMatrix, a large-scale mined corpus of multilingual speech-to-speech translations.
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.
Open-source AI model Whisper uses multilingual, diverse datasets, and weak supervision to build an ASR system that can transcribe and translate.
When researchers experimented with machine translation to simplify medical content for patients, the results were mixed but promising.
Computer researchers at the University of Maryland experiment with machine translation to show how global meetings can be optimized.
Machine translation researchers at Ireland’s Adapt Center propose a new approach to domain-specific MT training using back-translation for data augmentation.
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