Unverified50% confidenceOpinionExact time
A typical failure in LLM projects is the question 'which version of the data did last training use'; if the cleaning scripts are not replayable and the intermediate artifacts have no snapshots, the cause cannot be located when model performance regresses.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Fine-Tune an LLM or Build an App? Data Preparation Is the Architecture Core
redditr/LangChain10/19/2026
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