Learn More A new neural-network architecture developed ... Titans combines traditional LLM attention blocks with “neural memory” layers that enable models to handle both short- and long ...

LLM architecture ... a feed-forward neural network, understands how they relate to each other. This dual-layer approach is essential for generating clear, relevant responses. Decoder layers ...

By representing model ... architecture uses 4-bit activations for inputs to attention and feed-forward network (FFN) layers. It uses sparsification with 8 bits for intermediate states, keeping ...