How to Test Local AI Agents for Tool-Calling Reliability
Answer-only grading hides the most common agent failures: the wrong tool called with a plausible-sounding summary. The fix is to capture the tool-call log as a structured…
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#local LLMs
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3 published articlesPrompt Engineering: A Practical Guide to Instructions, Examples, and Evaluation
Prompt engineering is the practice of writing, testing, and revising the instructions given to a language model so its output reliably serves a defined purpose. This guide…
How to Compare Local Language Models with Reproducible Tests
A reproducible local model comparison pins the model, runtime, hardware, prompt template, context settings, and sampling parameters before measuring quality, latency, memory, and failure rates. This guide…