AI generation in the future development stage.
1. Multimodal Integration
AI model development that can process multiple modalities such as text, images, audio, and videos is progressing. It enables more rich and context-aware generation.
2. Improvement of Self-learning and Continual Learning Ability
Many current models are fixed once the training is completed, but the development of models that can adapt and continuously learn from the environment and new information is progressing.
3. Evolution of Edge AI
Development of AI models that can perform advanced inference on edge devices without relying on the cloud is progressing. This improves real-time capabilities and privacy protection.
AI model development that can process multiple modalities such as text, images, audio, and videos is progressing. It enables more rich and context-aware generation.
2. Improvement of Self-learning and Continual Learning Ability
Many current models are fixed once the training is completed, but the development of models that can adapt and continuously learn from the environment and new information is progressing.
3. Evolution of Edge AI
Development of AI models that can perform advanced inference on edge devices without relying on the cloud is progressing. This improves real-time capabilities and privacy protection.
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