👉 Character engineering is a process in artificial intelligence, particularly in natural language processing (NLP), that involves designing and optimizing the structure and parameters of linguistic models to enhance their performance on specific tasks or to align their outputs with human preferences. It focuses on tailoring the model's architecture, training data, and learning objectives to achieve desired characteristics such as coherence, fluency, factual accuracy, or emotional appropriateness. This can include techniques like fine-tuning pre-trained models on task-specific datasets, adjusting attention mechanisms for better context understanding, or incorporating reinforcement learning to guide the model towards more desirable outputs. The goal is to create models that not only generate grammatically correct and contextually relevant text but also exhibit a personality or style that resonates with human users, making them more effective and engaging in applications ranging from chatbots to content generation.