👉 The sender fluid, often referred to as the "sender" or "source" fluid in neural network models, is a crucial component that encapsulates the initial state information of the input data before it undergoes any transformations within the neural network. This fluid typically contains metadata about the input, such as its type, size, and any pre-processing details, which helps the network understand and utilize the data more effectively. By preserving this context, the sender fluid aids in maintaining consistency and coherence across different layers and operations, ensuring that the model can accurately interpret and process the input data throughout its computations.
