Introduction:
Large language models (LLMs) have taken the world by storm in recent years, with their ability to generate realistic text, translate languages, and answer questions in an informative way. But what’s next for this rapidly evolving field?
One promising area of research is large multimodal models (LMMs). LMMs are similar to LLMs, but they are trained on a wider range of data, including text, images, and audio. This allows them to perform a wider range of tasks, such as generating realistic images and videos, translating languages between different modalities, and answering questions about the world in a more comprehensive way.
Why are LMMs important?
LMMs have the potential to revolutionize many different industries, including healthcare, education, and entertainment. For example, LMMs could be used to develop new medical diagnostic tools, create personalized educational experiences, and generate immersive entertainment experiences.
Examples of LMMs
Some examples of LMMs include:
- OpenAI’s GPT-4V (Vision)
- Google’s Gemini
- The open source LMM LLaVA
The future of LMMs
LMMs are still in their early stages of development, but they have the potential to transform the way we interact with the world around us. As LMMs continue to improve, we can expect to see them used in a wide range of new and innovative ways.
Conclusion:
LMMs are the next generation of AI, and they have the potential to revolutionize many different industries. As LMMs continue to improve, we can expect to see them used in a wide range of new and innovative ways.