Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context and faster real-time AI inference.

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.

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 ...

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 engineers have developed a method to compress artificial intelligence (AI) data so that it requires up to six times less working memory to function. With the new system, called TurboQuant, AI ...

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 ...