Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.
A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.
The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...
Dare we say it, but Microsoft seems to be reading the room.
The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI chatbots. The cache grows as conversations lengthen, ...
Microsoft is improving Windows 11 performance by reducing memory usage, aiming to make 8GB RAM laptops more usable amid rising hardware costs. The Latest Tech News, Delivered to Your Inbox ...