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Synthetic training data: audit diversity and label quality
Generating thousands of rows does not create thousands of independent examples. Synthetic data can repeat one template, reproduce generator biases and attach confident but wrong labels.
t-SNE and UMAP: why a picture does not prove clusters
t-SNE and UMAP can reveal local structure in high-dimensional data. They optimize low-dimensional embeddings, not a statistical test that discrete groups exist. Apparent islands can change with hyperparameters, initializ
Target encoding without leaking the target
Target encoding replaces a category with an outcome statistic such as its mean target rate. The feature can compactly represent high-cardinality categories. It can also copy the answer into the input when a row contribut
Temperature is not a reliability control
Lower temperature can reduce variation in sampling, but it cannot make missing evidence appear, fix a flawed prompt, enforce a business rule or guarantee identical output across model versions and infrastructure. A confi
Test a business calculation with normal and boundary cases
Derive tests from the calculation's meaning, not from the lines of code it happens to use. A monthly paid-order report needs evidence about period boundaries, payment status, identity and empty results. A test that merel
Test a knowledge assistant on unanswerable questions
Every corpus has limits. A knowledge assistant must recognize when eligible evidence cannot support an answer, even when retrieval returns topically related text.
Test a multi-agent handoff against a single-agent baseline
Multiple agents add handoffs, duplicated context and coordination failure. They should be compared with a simpler single-agent or workflow design on the same acceptance tests.
Test a reporting pipeline with failure injection
A successful run proves that the happy path worked for one input. Failure injection asks whether the workflow preserves its guarantees when something breaks at a specific point: before validation, during extraction, half
Test an AI system when its upstream service is unavailable
Model, vector, identity and business APIs can fail independently. A resilience test should verify the user-visible state and side-effect safety, not only that an exception was caught.
Test batch and single-record prediction consistency
The same record should usually receive the same prediction whether it appears alone or inside a batch. A mismatch can expose preprocessing that computes request-batch statistics, column reordering, mutable state or thres
Test cross-tenant cache isolation
A response cache can bypass controls that retrieval and tools enforce correctly. Semantic similarity makes this worse: two tenants may ask equivalent questions while having different permitted evidence.
Test tenant isolation in a retrieval tool
An agent may invent or receive a valid document ID from another tenant. The retrieval service must enforce identity scope before reading or returning content.
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