Users of certain advanced AI systems might have noticed their favorite model can remember their preferences regarding tone, formatting, prior topics of interest, how they like responses structured and ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...

Memory Bank is a response to the challenges posed by traditional AI memory systems. Stateless models, while effective for single-session tasks, are inherently limited in their ability to maintain ...