Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

All you had to do was pay attention to the polar coordinates lecture in [trigonometry], and you could have discovered a 6x ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — without the hours of GPU training that prior methods required.

In a computer, the entire memory can be separated into different levels based on access time and capacity. Figure 1 shows different levels in the memory hierarchy. Smaller and faster memories are kept ...

Caching has long been one of the most successful and proven strategies for enhancing application performance and scalability. There are several caching mechanisms in .NET Core including in-memory ...