Deep Mind Gopher

DeepMind's language model, which it calls Gopher, is significantly more accurate than these existing ultra-large language models on many tasks, particularly answering questions about specialized subjects like science and the humanities, and equal or nearly equal to them in others, such as logical reasoning and mathematics, according to the data DeepMind published. This was the case despite the fact that Gopher is smaller than some ultra-large language software. Gopher has some 280 billion different parameters, or variables that it can tune. That makes it larger than OpenAI's GPT-3, which has 175 billion. But it is smaller than a system that Microsoft and Nivida collaborated on earlier this year, called Megatron, that has 535 billion, as well as ones constructed by Google, with 1.6 trillion parameters, and Alibaba, with 10 trillion. DeepMind says its new language model can beat others 25 times its size. With a 7 billion parameter Retro model it equals the performance of OpenAI's GPT-3. Also, because researchers can see exactly which section of training text the Retro software is using to produce its output, it could be easier to detect bias or misinformation, the DeepMind researchers said. | AI use cases GPT-3 Market Map GPT-4 Demo Youtube Channel What's GPT-3? Blog post LINKS Research paper Terms TAGS ChatbotsGPT-3 Alternative Large Language Models (LLMs) APPS GOPHER BY DEEPMIND Gopher by DeepMind 280 Billion Parameters Language model About Gopher by DeepMind DeepMind's language model, which it calls Gopher, is significantly more accurate than these existing ultra-large language models on many tasks, particularly answering questions about specialized subjects like science and the humanities, and equal or nearly equal to them in others, such as logical reasoning and mathematics, according to the data DeepMind published. This was the case despite the fact that Gopher is smaller than some ultra-large language software. Gopher has some 280 billion different parameters, or variables that it can tune. That makes it larger than OpenAI's GPT-3, which has 175 billion. But it is smaller than a system that Microsoft and Nivida collaborated on earlier this year, called Megatron, that has 535 billion, as well as ones constructed by Google, with 1.6 trillion parameters, and Alibaba, with 10 trillion. DeepMind says its new language model can beat others 25 times its size. With a 7 billion parameter Retro model it equals the performance of OpenAI's GPT-3. Also, because researchers can see exactly which section of training text the Retro software is using to produce its output, it could be easier to detect bias or misinformation, the DeepMind researchers said. Source: https://fortune.com/2021/12/08/deepmind-gopher-nlp-ultra-large-language-model-beats-gpt-3/ Gopher by DeepMind screenshots Similar apps AiBERT AI Buddy Google AI Test Kitchen Tongyi Qianwen by Alibaba AskBrian AskReddit But AI See all Chatbots apps Ready to start building? At Apideck we're building the world's biggest API network. Discover and integrate over 12,000 APIs. Check out the API Tracker The GPT-3 and ChatGPT name and logo are the property of OpenAI Powered by Apideck GPT-4 Demo Privacy Policy × Notice This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. If you want to know more or withdraw your consent to all or some of the cookies, please refer to the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to the use of cookies.