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A multimodal LLM is a type of large language model (LLM) that can process, analyze, integrate, and generate multiple types of data such as:
- Text
- Images
- Audio
- Video
These models are trained on large datasets that contain various types of data and can perform a wide range of tasks, including but not limited to :
- Optical character recognition (OCR).
- Multimodal language translation.
- Generating images and videos based on text prompts.
In summary, multimodal LLMs have the potential to revolutionize various industries and applications, enabling more intuitive and human-like interaction between humans and machines. They can facilitate new forms of creativity, improve communication, and enhance decision-making. As the technology continues to evolve, we can expect to see even more innovative applications of multimodal LLMs in the future.
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