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Google launched most powerful and capable AI Model Gemini beat ChatGPT know all details

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Google Gemini AI: It won’t be wrong to call Artificial Intelligence (AI) the future of technology. AI is going to play a huge role in future technology, which was reported a year ago by OpenAI’s ChatGPT. Chatbots showcased the power of AI to the world. But Google has now gone one step further, as the company claims. Google has released its new AI model Gemini, which is being described as the most powerful and capable AI model till date. Let’s know about it.

American search engine company Google has claimed to have taken a big leap in the world of Artificial Intelligence. The company has launched its new AI Model Gemini Release The company has done this. ChatGPT It has been launched to compete with OpenAI which was launched in November last year. Let us tell you that Google’s parent Alphabet had created a unit for research on special AI, named Google Deepmind Unit. Now this unit has introduced its first model in the form of Gemini AI.

Gemini AI The thing that Google has highlighted about Gemini is its multitasking power. This artificial intelligence model can do many tasks at the same time. That is, for the user, it can work on images, videos, text, code at the same time. This is being said to be the biggest plus point of Gemini that it can not only create text, code and images but can also read them, and that too at the same time. However, this is not possible in ChatGPT because it only works on text. With ChatGPT, the user can neither create an image nor read a picture.

Another special thing is that Google has introduced three models of it. Gemini Ultra, Gemini Pro, and Gemini Nano. Gemini Ultra is the top size model which is designed for the most difficult tasks. The Pro model is designed for scaling to a larger range of tasks. On the other hand, Nano is designed for on-device tasks like mobile devices etc.

Gemini AI is said to be based on the Massive Multitask Language Understanding (MMLU) model. It is capable of producing better results than human experts on benchmarks. It uses knowledge from 57 subjects such as mathematics, physics, history, law, medicine and ethics to solve problems.



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