Your PC contains a number of caches, a collection of frequently-accessed data files, usually temporary, to help speed up future requests. Basically, it improves ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

As AI workloads extend across nearly every technology sector, systems must move more data, use memory more efficiently, and respond more predictably than traditional design methodologies allow. These ...

There's a gap between ephemeral prompt caching (5min/1h TTL) and fine-tuning. For apps with a large, stable system context (~50-100K tokens) and moderate but irregular traffic, neither option fits ...

Abstract: Vehicular Edge Computing (VEC) leverages promising technologies, namely the vehicle-to-vehicle (V2V) computation offloading approach and edge service caching, to address latency-sensitive ...

I'm a Solution & Data Architect, Gen. AI Expert with over 19 years of experience in architecture, design, & development. I'm a Solution & Data Architect, Gen. AI Expert with over 19 years of ...

Going to the database repeatedly is slow and operations-heavy. Caching stores recent/frequent data in a faster layer (memory) so we don’t need database operations again and again. It’s most useful for ...

Is your feature request related to a problem? Please describe. Before calling the LLM, the llm_agent sends 2 to 3 HTTP requests to the MCP server. Since a ListToolsRequest is triggered with every LLM ...

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