👉 Trainless is a term used in the context of computing, specifically in the field of machine learning and deep learning. It refers to a model that can be trained without any additional hardware or software components. This means that it does not require any training data or parameters to learn from, making it computationally efficient for large-scale tasks. In other words, trainless models are designed to handle large datasets efficiently by relying on the training process itself rather than external resources like GPUs or CPUs. This can lead
