— Titans have three levels of memory: short-term, long-term , and permanent. The model itself can choose what to remember and what to throw out of its memory.
— Long-term memory is constantly learning and updating itself, adapting to new data;
— Parallel data processing speeds up training and makes the system as efficient as possible;
— Titans beats all top models in forecasting and modeling, easily handling genome analysis, time series, and a bunch of other difficult tasks;
— The gap in the context window is striking, for comparison: GPT-4 has a maximum of 4 thousand tokens, and Titans has 2 million. This is about the same as reading and comprehending 25 books at once.