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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. 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).

4. Google reveals Gemini AI, its ‘largest science and ... - AOL

   www.aol.com/google-reveals-gemini-ai-largest...

   Google claims Gemini is the first AI model to beat “human experts” in its range of intelligence tests. It plans to launch in English first, but will expand to different languages and other ...

5. Google launches Gemini, its most-advanced AI model yet ... - AOL

   www.aol.com/google-launches-gemini-most-advanced...

   Google’s proprietary AI chatbot, Bard, has already been upgraded with a version of the Gemini model, the company said Wednesday, with plans to add Gemini to widely used products including Google ...

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 (MSFT) OpenAI’s GPT-4, and according to DeepMind CEO ...

7. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a language model -based chatbot developed by OpenAI and launched on November 30, 2022. It can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2] Successive user prompts and replies are considered at each ...