A key innovation of Gemini is its ability to process non-text data. By training on large amounts of image, video, and audio data, Gemini is able to understand and interpret the information in these data types, thereby providing richer and more accurate responses and solutions.
Multimodal performance
According to data provided by Google, Gemini has performed well on multiple multimodal tasks. In the MMLU (Massive Multitask Language Understanding) test, it is the first model to surpass human experts, demonstrating its outstanding ability to handle a wide range of topics and complex problems.
Gemini in action
Gemini has great potential for practical applications. From afghanistan mobile database improving the performance of Google's own products, such as Bard chatbot and Search Generative Experience, to providing powerful AI services to developers and enterprise customers, Gemini will play an important role.
Changing the user experience
For ordinary users, Gemini will provide a richer and more personalized experience through improved search engine responses, smarter chatbot interactions, and more accurate understanding of audio and video content.
Helping business development
For businesses, Gemini provides a powerful tool that can be used to improve customer service, enhance the relevance of product recommendations, and create more targeted marketing content.