llm-evaluation.
4 writings found
Latest Archives
Why Your AI Agent Works Once But Fails the Next Time
Most benchmarks hide consistency problems behind averages. A new diagnostic tool exposes why capable agents produce unreliable results and how to fix it.
Why Your AI Agent Succeeds 77% of the Time (But Only 53% Reliably)
Most agent benchmarks hide inconsistency behind averages. Here's why that gap matters and how to measure real-world reliability.
Why Your AI Agent Works Once But Fails the Next Time
Consistency gaps in LLM agents matter more than average accuracy. Introducing consistency guidelines to stabilize agent decisions.
Why Your AI Agent Works Once but Fails Twice
AI agents achieve high average accuracy but fail inconsistently on identical tasks. A new consistency measurement and guideline system reveals why, and how to fix it.
Prev
Page 1 of 1 Next