Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
IEEE

Joint Service Caching and Computation Offloading Scheme Based on Deep Reinforcement Learning in Vehicular Edge Computing Systems

Abstract: Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular performance by introducing both computation offloading and service caching, to resource-constrained ...

Ask An SEO: Can AI Systems & LLMs Render JavaScript To Read ‘Hidden’ Content?

What are the differences between how AI systems handle JavaScript-rendered or interactively hidden content compared to ...
GitHub

Save 30-50%+ of CI time without any effort or cost. Use Magic Nix Cache, a totally free and zero-configuration binary cache for Nix on GitHub Actions.

Why use the Magic Nix Cache? Magic Nix Cache uses the GitHub Actions built-in cache to share builds between Workflow runs, and has many advantages over alternatives. The GitHub Actions Cache has a ...
GitHub

A key-value cache for sharing data between parallel workers and test runs

Under the hood, Global Cache spins up a tiny HTTP server, with a simple REST API for getting and setting values. This server is a single storage point for all workers. When a worker needs a value, it ...
IEEE

Minimizing Edge Caching Service Costs Through Regret-Optimal Online Learning

Abstract: Edge caching has been widely implemented to efficiently serve data requests from end users. Numerous edge caching policies have been proposed to adaptively update the cache contents based on ...