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

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...

Faster, more effective knee replacement surgery is now available in a Singaporean hospital with new artificial intelligence algorithm. Developed by Alexandra Hospital in Singapore, the technology has ...

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, ...

For about four years now, AMD has offered special “X3D” variants of its high-end desktop processors with an extra 64MB of L3 cache attached, an addition that disproportionately benefits games. AMD ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

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 ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...

In the months following Elon Musk’s $44 billion acquisition of Twitter in 2022, my experience with the platform (and perhaps yours too) got quickly, dramatically worse. My algorithmic timeline, better ...