GooglePublishedGemini1.5 Pro modeling ofTechnical ReportThis report describes the model architecture, training data and infrastructure, long text reviews, and general-purpose competency reviews of Gemini 1.5 Pro, a high-performance, multimodal, hybrid expert model that processes and analyzes information from millions of Token, including long documents and hours of video and audio content.
Gemini1.5Pro demonstrates almost perfect memory recall in long-form information retrieval tasks, refreshing the technological heights in the fields of long-form document quizzing, long-form video quizzing and automatic speech recognition, surpassing its predecessor, Gemini1.0Ultra.In terms of predicting the next Token, Gemini1.5Pro makes significant progress, reaching an accuracy rate of 991 TP3T or more when dealing with tasks with more than 10 million Token tasks with an accuracy rate of over 99%, a huge leap forward.
Paper address:https://arxiv.org/pdf/2403.05530.pdf
In addition, the Gemini 1.5Pro demonstrated an amazing ability to learn to translate English into Kalamang at a level comparable to a human being when exposed to the Kalamang Grammar Manual, even though Kalamang is a niche language with fewer than 200 speakers worldwide.
In summary, Gemini 1.5Pro performs well in processing long-form information across multiple media formats, not only surpassing its predecessor in terms of technical performance, but also demonstrating an amazing translation capability that opens up new possibilities for the development of multimodal hybrid expert models.