Google Titans: End of Transformer based LLMs?

Google's Titans introduce a new family of neural architectures designed to address the limitations of Transformers, particularly in handling long-term dependencies and large context windows. Key innovations include a neural long-term memory module inspired by human memory systems, which can memorize historical context effectively. Titans offer three variants for memory integration and combine short-term attention with long-term memory, allowing better performance on tasks requiring deep context understanding like language modeling and time series forecasting.