Results for "shared memory"

Control shared between human and agent.

Extending agents with long-term memory stores.

Training one model on multiple tasks simultaneously to improve generalization through shared structure.

Quantifies shared information between random variables.

Agents communicate via shared state.

Hardware resources used for training/inference; constrained by memory bandwidth, FLOPs, and parallelism.

Reducing numeric precision of weights/activations to speed inference and reduce memory with acceptable accuracy loss.

A system that perceives state, selects actions, and pursues goals—often combining LLM reasoning with tools and memory.

Mechanisms for retaining context across turns/sessions: scratchpads, vector memories, structured stores.