Real Time Customization

Real-time customization focuses on adapting models and systems to individual user needs or specific contexts instantaneously, aiming for efficiency and personalized experiences. Current research emphasizes parameter-efficient fine-tuning of large language models and diffusion models, along with novel architectures like modular customization for efficient merging of independently trained models and methods for optimizing model selection based on application-specific needs. This field is significant for improving the usability and effectiveness of AI systems across diverse applications, from personalized text generation and image editing to optimizing industrial manufacturing processes and assistive robotics.