Sources checked
Compare adaptation against a prompt-only baseline
An original extraction project could train on examples of the exact fields and formats it needs. Reserve separate examples for evaluation and compare against a prompt-only baseline before accepting the extra maintenance work.
Keep test examples outside the training set
Poor examples can teach the wrong behavior. Keep data quality, versioning, and held-out evaluation in the process, and avoid assessing the model only on examples it has already seen.
What to remember
Keep evaluation examples out of training.
Sources & further reading
How this story was made
Written by Kristian Kostov with AI assistance and checked against the linked sources. Company performance claims are attributed to the company. Analysis reflects AiLookout’s interpretation; we have not independently tested the products discussed. Cover photography is illustrative and does not depict the specific announcement or product.
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