👉 The context fluid refers to the dynamic and adaptive nature of context in various applications, particularly in natural language processing (NLP) and conversational AI. It describes how a system's understanding of context can change and evolve based on the ongoing interaction, user input, and environmental factors. This fluidity allows models to better grasp nuances, maintain coherence over longer conversations, and respond appropriately to new information or shifts in the conversation's direction. Essentially, context fluidity enables AI systems to be more flexible and responsive, improving their ability to engage in meaningful and contextually relevant dialogues.
