A developer explored how free LLM servers handle memory between requests, finding that they often do not retain context. The investigation involved creating a testing harness to send pairs of requests: the first to store a unique marker, and the second to retrieve it without any prior context. This process was repeated twenty times to observe if the server consistently remembered the marker across independent calls. The conclusion emphasizes treating LLM servers as stateless and explicitly providing all necessary information with each request to ensure reliable performance. AI
IMPACT Developers should explicitly pass context in each request to LLM servers, as state persistence is not guaranteed.
RANK_REASON The item describes a technical investigation into the behavior of LLM servers, specifically their memory persistence, and provides a practical method for testing this behavior.
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