Learn essential strategies for early detection and long-term management of lymphoedema to enhance quality of life.

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...

Next version of Microsoft’s software development platform brings improvements for JIT compilation, WebAssembly, C#, and F#.

According to @godofprompt, researchers have developed a novel Cache-to-Cache (C2C) method allowing large language models (LLMs) to communicate directly via their internal key-value (KV) caches, ...

Large language model (LLM) applications often reuse previously processed context, such as chat history and documents, which in troduces significant redundant computation. Existing LLM serving systems ...

In long conversations, chatbots generate large “conversation memories” (KV). KVzip selectively retains only the information useful for any future question, autonomously verifying and compressing its ...

Reasoning models have demonstrated impressive performance in self-reflection and chain-of-thought reasoning. However, they often produce excessively long outputs, leading to prohibitively large ...

The CPU overhead for compaction increases by ~1.5X for fillseq and ~1.2X for overwrite in 10.6.0 compared to 10.5.5. Given that compaction runs in the background it doesn't always hurt throughput but ...

Abstract: Image retrieval from databases traditionally relies on storing images as Binary Large Objects (BLOBs) alongside data compression techniques. However, handling high volumes of image queries ...