ML models can design optimal customer journeys by combining deep learning with optimization techniques. Traditional attribution models fall short due to position-agnostic attribution, context blindness, and static channel...
LSTMs, introduced in 1997, are making a comeback with xLSTMs as a potential rival to LLMs in deep learning. The ability to remember and forget information over time intervals sets LSTMs apart from RNNs, making them a valuable tool in language...