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2. 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 ...

3. Gemini (language model) - Wikipedia

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

   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.

4. Google launches Gemini, its most-advanced AI model yet, as it ...

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

   The scope of Google’s ambitions were reflected in the company’s announcement, which introduced Gemini as the company’s “largest and most capable AI model” and declared a “Gemini era ...

5. 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.

6. Google DeepMind Unveils Its Most Powerful AI Offering Yet - AOL

   www.aol.com/google-deepmind-unveils-most...

   DeepMind was founded by Demis Hassabis, Shane Legg, and Mustafa Suleyman in 2010. Google acquired the AI lab for $400 million in 2014, and in April 2023 DeepMind merged with Google’s elite AI ...

7. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing , machine translation , and natural language generation and can be used as foundation models for other tasks. [ 46 ]