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MAVIS

Mathematical Visual Instruction Tuning Model

CommonProductProductivityMachine LearningMultimodal Learning
MAVIS is a mathematical visual instruction tuning model designed for multimodal large language models (MLLMs). It enhances MLLMs' capabilities in visual mathematical problem-solving by improving visual encoding of mathematical graphs, graph-language alignment, and mathematical reasoning skills. The model includes two newly curated datasets, a mathematical visual encoder, and a mathematical MLLM, achieving leading performance in the MathVerse benchmark test through a three-phase training paradigm.
MAVIS
Visit

MAVIS Visit Over Time

Monthly Visits

499904316

Bounce Rate

37.31%

Page per Visit

5.8

Visit Duration

00:06:52

MAVIS Visit Trend

MAVIS Visit Geography

MAVIS Traffic Sources

MAVIS Alternatives

MediaPipe

MediaPipe — An open-source, cross-platform machine learning framework developed by Google. It enables developers to easily build machine learning applications on various devices (phones, tablets, browsers, IoT devices, etc.) through a simple API. MediaPipe supports multiple programming languages and comes with pre-trained models for face recognition, gesture recognition, object tracking, and more. Developers can quickly integrate these models into their applications. MediaPipe also supports model compression and quantization techniques, which can shrink model sizes by more than 10 times, greatly benefiting the deployment of machine learning models on mobile devices. Overall, MediaPipe is a user-friendly and efficient machine learning development framework.

Programming•Machine Learning•Development Programming
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