Short Musings on AI Engineering and "Failed AI Projects"
Read OriginalThe article contrasts the arduous data preparation and pipeline monitoring of traditional machine learning with the rapid prototyping enabled by LLMs. It argues that while LLMs lower initial effort and boost early excitement, they can lead to a similar cycle of inflated expectations and eventual tempered results in production, due to a lack of systematic evaluation.
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