Equation 13 · Part 1 · Measuring AI Agent Reliability: What the Evidence Actually Supports
Symbol n
What this part means
the two formulas share the same.
Its job in the formula
n is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Full expression→Symbol n→Article meaning
Where the article explains it
The two formulas share the same n , c , and k and the same combinatorial machinery, and that similarity is precisely the point: they are estimating two different probabilities from the same data, one about the best of k attempts and one about the consistency of all k of them.
The passage around this formula
The two formulas share the same n , c , and k and the same combinatorial machinery, and that similarity is precisely the point: they are estimating two different probabilities from the same data, one about the best of k attempts and one about the consistency of all k of them. A system can score well on the first and badly on the second, and a report that only states pass@k while an agent is actually being deployed to run the same class of task repeatedly, unsupervised, with no way to pick the lucky run, is answering a question nobody was asking.
Learn the underlying idea
A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.
Open the illustrated variables: a letter stands for a value guide →
See this notation across published equations →
Sources cited in the article section
- [2] Evaluating Large Language Models Trained on Code ↗
- [3] tau-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains ↗
These citations provide research context; check each source for the exact claim it supports.