👉 The knowledge-formation fluid, also known as the neural network's learning mechanism, is a dynamic process that enables artificial intelligence systems to acquire and refine knowledge from vast amounts of data. This fluid operates by adjusting internal parameters through algorithms like backpropagation, which optimize the model's predictions and understanding. As the system processes new information, it continuously updates its internal representations, enhancing its ability to recognize patterns, make inferences, and generate insights. This fluid learning capability allows AI models to evolve over time, adapting to new contexts and improving performance without explicit reprogramming.
