Meet OmAgent: A New Python Library for Building Multimodal Language Agents
Understanding long videos, such as 24-hour CCTV footage or full-length films, is a major challenge in video processing. Large Language Models (LLMs) have shown great potential in handling multimodal data, including videos, but they struggle with the massive data and high processing demands of lengthy content. Most existing methods for managing long videos lose critical […]
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Summary
The article introduces OmAgent, a new Python library designed for creating multimodal language agents. It addresses the challenge of processing long videos, such as 24-hour CCTV footage or full-length films, by leveraging Large Language Models (LLMs). While LLMs have shown promise in handling multimodal data, they struggle with the extensive data and processing demands of lengthy content. OmAgent aims to provide a solution for managing this type of data effectively.
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