Results for "memory"
Memory
IntermediateMechanisms for retaining context across turns/sessions: scratchpads, vector memories, structured stores.
Memory in AI is similar to how humans remember things. Just like you might recall what you had for breakfast this morning (short-term memory) or remember your favorite book from years ago (long-term memory), AI systems need to keep track of information to respond better. They use different method...
Extending agents with long-term memory stores.
Mechanisms for retaining context across turns/sessions: scratchpads, vector memories, structured stores.
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.
An RNN variant using gates to mitigate vanishing gradients and capture longer context.
A system that perceives state, selects actions, and pursues goals—often combining LLM reasoning with tools and memory.
Number of samples per gradient update; impacts compute efficiency, generalization, and stability.
PEFT method injecting trainable low-rank matrices into layers, enabling efficient fine-tuning.
Networks with recurrent connections for sequences; largely supplanted by Transformers for many tasks.
Identifying speakers in audio.
Predicting future values from past observations.
Temporary reasoning space (often hidden).
Dynamic resource allocation.
Running models locally.
Internal representation of environment layout.
System-level design for general intelligence.