Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
What is the difference between a GenAI Scientist, an AI Engineer, and a Data Scientist? While these roles overlap, they ...
With almost 175,000 npm projects listing the library as a dependency, the attack had a huge cascade effect and shows how ...
A cyber attack hit LiteLLM, an open-source library used in many AI systems, carrying malicious code that stole credentials ...
Cybersecurity and tech firms are positioning themselves to capture the exploding market for AI “governance.” Why leading ...
According to Sola Security, a single ChatGPT prompt triggered a mass file retrieval, and none of the company’s monitoring ...
A new “semi-formal reasoning” approach forces AI models to trace code paths and justify conclusions, improving accuracy while ...
RAM prices are enough to make you choke on your toast, so Google Research has turned up with TurboQuant to cram LLMs into less memory. TurboQuant is pitched as a compression trick for the key-value ...
This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...
The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...
Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x ...
Active exploits, nation-state campaigns, fresh arrests, and critical CVEs — this week's cybersecurity recap has it all.