Keep track of OpenAI’s latest developments in AI research, investor interest, and product deployment.
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.
OpenAI's Whisper model is now available through an API. Language SaaS builders and enterprises can benefit from cutting-edge transcription and the convenience of on-demand access.
How powerful large language models and serverless GPU infrastructure have slashed the cost for a new generation of creators to build fully functional micro SaaS products.
Research by Tencent AI Lab compares ChatGPT’s performance in machine translation with Google Translate, DeepL, and Tencent’s TranSmart.
At SlatorCon Remote December 2022, Konstantin Savenkov, CEO at Intento, on machine translation bottlenecks, value drivers, ROI, and the future of the global language market.
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.
Deepgram CEO, Scott Stephenson, on scaling state-of-the-art speech API for enterprise and next-gen AI platforms, response to Whisper, and future of voice AI.
Among the dozens of AI writing tools built on GPT-3 and launched over the past year, Jasper takes the funding crown as it pockets USD 125m in a unicorn-making series A.
Open-source AI model Whisper uses multilingual, diverse datasets, and weak supervision to build an ASR system that can transcribe and translate.
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.
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.
Developers praise PyTorch, Facebook’s open source framework, for its flexibility, speed, and usability. But the machine translation world is not ready to dethrone TensorFlow just yet.
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