This time, I would like to organize some thoughts on efficient cache implementation in Python and the trap of 'over-engineering' we often fall into, based on the article I Rewrote My Python Script ...

Frequently used experts remain in an LRU cache for each layer, and usage frequency is recorded in a .coli_usage file, so that in subsequent runs, hot experts are preferentially pinned to memory. It is ...

When a cache miss fetches from cloud object storage (S3 / GCS / Azure Blob), you are billed per GET request and per byte of egress — not in latency. Classic caching (LRU, Belady) minimizes miss rate, ...

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...

Built entirely in asynchronous Python to ensure high-throughput execution within strict 10-minute timeout constraints, the system operates as a smart gateway between local edge computing and the ...