Prompt Customization

Prompt customization focuses on adapting pre-trained large language models (LLMs) and other AI models to specific tasks or user preferences, improving performance and mitigating issues like bias and adversarial attacks. Current research emphasizes techniques like fine-tuning, low-rank adaptation (LoRA), and embedding customization, often applied within diffusion models, to achieve personalized outputs in various domains, including image generation, 3D modeling, and conversational AI. This research is significant for enhancing the safety, efficiency, and usability of AI systems across diverse applications, from personalized education to robust industrial tools.