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2. Gemini (chatbot) - Wikipedia

   en.wikipedia.org/wiki/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, it was launched in 2023 after being developed as a direct response to the rise of OpenAI 's ChatGPT. It was previously based on PaLM, and initially the LaMDA family of large language models.

3. Google debuts subscription Gemini AI bot, as Microsoft ... - AOL

   www.aol.com/finance/google-debuts-subscription...

   Gemini Advanced is a paid version of the company’s bot that gives users access to Google’s largest AI model, Gemini Ultra, for $19.99 per month as part of the company’s Google One AI Premium ...

4. Google rebrands Bard AI to Gemini and launches a new app and ...

   www.aol.com/news/google-rebrands-bard-ai-gemini...

   Google on Thursday announced a major rebrand of Bard, its artificial intelligence chatbot and assistant, including a fresh app and subscription options. Google rebrands Bard AI to Gemini and ...

5. Gemini (language model) - Wikipedia

   en.wikipedia.org/wiki/Gemini_(language_model)

   Gemini's launch was preluded by months of intense speculation and anticipation, which MIT Technology Review described as "peak AI hype". [46] [20] In August 2023, Dylan Patel and Daniel Nishball of research firm SemiAnalysis penned a blog post declaring that the release of Gemini would "eat the world" and outclass GPT-4, prompting OpenAI CEO Sam Altman to ridicule the duo on X (formerly Twitter).

6. Google debuts powerful Gemini generative AI model in strike ...

   www.aol.com/finance/google-debuts-powerful...

   Google (GOOG, GOOGL) on Wednesday debuted its new Gemini generative AI model.The platform serves as Google’s answer to Microsoft-backed OpenAI’s GPT-4, and according to DeepMind CEO Demis ...

7. Google AI - Wikipedia

   en.wikipedia.org/wiki/Google_AI

   Google Assistant: is a virtual assistant software application since 2023 developed by Google AI. Serving cloud-based TPUs (tensor processing units) in order to develop machine learning software. [8][9] The TPU research cloud provides free access to a cluster of cloud TPUs to researchers engaged in open-source machine learning research.