#embeddings

Counting letters is how the training-data picker measured diversity

The fine-tuning export that landed in my agent-observability stack got a close read. Its idea of two examples being different is a spelling fingerprint, its cutoff was never checked against real data, and nothing scrubs secrets before they reach the training file.