Why We Use a 4B Model on a Local NPU as a 'Wind Tunnel' for 3-Tier Multi-Agent Systems
Most multi-agent frameworks are benchmarked on 70B+ cloud models. Because frontier models have massive parameter capacity, they silently mask architectural flaws—recovering from ambiguous agent descriptions, ignoring bloated system prompts, and guessing missing tool schemas. In SpaghettiLens-AI ( v…
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- 2026-11-10 22:05 · DEV Community — Machine Learning
Why We Use a 4B Model on a Local NPU as a 'Wind Tunnel' for 3-Tier Multi-Agent Systems