👉 In the context of specialized AI models, "fluid" generally refers to a set of parameters or variables that define the model's behavior and capabilities. These can include but are not limited to weights, biases, and activation functions, which collectively determine how the model processes input data and generates output. The available fluid in this context encompasses all these components, which are often adjusted during training to optimize performance. Each fluid element plays a crucial role in the model's ability to learn patterns, make predictions, and handle various types of data. During training, these parameters are iteratively refined using algorithms like gradient descent to minimize errors and improve accuracy.
