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Google Gemini. Google Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, Gemini Flash, and Gemini Nano, it was announced on December 6, 2023, positioned as a competitor to OpenAI 's GPT-4. It powers the chatbot of the same name .
Gemini (chatbot) Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name and developed as a direct response to the rise of OpenAI 's ChatGPT, it was launched in a limited capacity in March 2023 before expanding to other countries in May. It was ...
Google Nest – smart home products including smart speakers, smart displays, digital media players, smart doorbells, smart thermostats, smoke detectors, and wireless routers. Google Chromecast – digital media players. Fitbit – activity trackers and smartwatches. Stadia Controller – game controller for Stadia.
Google ( GOOG, GOOGL) on Wednesday debuted its new Gemini generative AI model. The platform serves as Google’s answer to Microsoft-backed ( MSFT) OpenAI’s GPT-4, and according to DeepMind CEO ...
A dedicated mobile app to access Google’s Gemini, the firm’s generative AI assistant, has been released in the UK for the first time. A new Gemini app has launched on Google’s own Android ...
The service adds Gemini to the company’s consumer productivity suite and features access to Google’s Gemini Advanced, which runs on the company’s Ultra 1.0 AI model.
Google APIs are application programming interfaces ( APIs) developed by Google which allow communication with Google Services and their integration to other services. Examples of these include Search, Gmail, Translate or Google Maps. Third-party apps can use these APIs to take advantage of or extend the functionality of the existing services.
T5 (language model) T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI. Introduced in 2019, [1] T5 models are trained on a massive dataset of text and code using a text-to-text framework. The T5 models are capable of performing the text-based tasks that they were pretrained for.
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