Vendor benchmarks are rightly distrusted: pick a friendly dataset, tune on the test set, round up,...
Vendor benchmarks are rightly distrusted: pick a friendly dataset, tune on the test set,
round up, publish. I sell a document-extraction API (Kynth Core), I wanted to publish
accuracy numbers, and I couldn't find a form of "trust me" that I would accept from someone
else. So the benchmark became a repo instead of a claim.
The rules I couldn't let myself break
I got tired of retrieval papers claiming their pipeline is "state-of-the-art" without significance...
Most "chat with your documents" demos work in an afternoon. Then you hit the last 20%: retrieval that...
Three times while building a web content extractor, a passing check told me something that wasn't...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Validating AI systems requires benchmarks—datasets and evaluation workflows that mimic real-world conditions—to measure accuracy,…
