Google has introduced Gemini, its most extensive and advanced artificial intelligence model.
It comprises three variants: Gemini Ultra, Gemini Pro, and Gemini Nano.
Designed to seamlessly handle text, code, audio, image, and video, Gemini aims to address various tasks and device requirements.
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The Ultra model, notably, outperforms human experts in massive multitask language understanding (MMLU) across subjects such as math, physics, history, law, medicine, and ethics.
The tech giant plans to license Gemini to customers through Google Cloud.
Gemini Pro will be accessible from December 13 via the Gemini API in Google AI Studio or Google Cloud Vertex AI.
Android developers can leverage Gemini Nano.Â
Beyond internal use, Gemini would power Google products like the Bard chatbot and Search Generative Experience (SGE).
It will enhance search queries with conversational-style text.
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Gemini can benefit companies and enterprises in advanced customer service engagement.
It’s through chatbots, personalized product recommendations, trend identification for advertising, and content creation for marketing campaigns or blog content.Â
Gemini can analyze charts, update research findings, and assist with homework by evaluating correct and incorrect answers in a photo of math homework.
Despite being Google’s largest AI model, Gemini Ultra is stated to be significantly more cost-effective to serve.
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While Gemini’s delayed launch prompted questions, Google emphasized thorough testing and safety evaluations, positioning it as its most rigorously assessed AI model.Â
The company plans to release a technical white paper for further insights into Gemini’s capabilities.
Monetization strategies, particularly regarding advanced features like “Bard Advanced,” remain undefined, focusing on providing a positive user experience before detailing any potential charges.
