Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

LLM-referred traffic converts at 30-40% — and most enterprises aren't optimizing for it

AI agents are replacing traditional search for serious work — and LLM-referred traffic converts at 30-40%, far above SEO and ...

Technical SEO for generative search: Optimizing for AI agents

Control how AI bots access your site, structure content for extraction, and improve your chances of being cited in ...

Google’s TurboQuant Marks A Turning Point In AI’s Evolution

Google’s TurboQuant could cut LLM memory use sixfold, signaling a shift from brute-force scaling to efficiency and broader AI ...

Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

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, ...

Matcha model makes drug candidate screening more than 30 times faster

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...