AIの限界点を見極める——日本の「生データ」を扱うエンジニアがAPI回帰すべき3つの技術的理由 (English)
Identifying the Limits of AI — 3 Technical Reasons Why Engineers Handling “Raw Japanese Data” Must Return to APIs “With Generative AI, we no longer need structured databases or strict APIs”—such was the whisper following the rise of Large Language Models (LLMs). However, on the front lines of production, particularly when dealing with the complex and idiosyncratic nature of “raw Japanese data,” this illusion quickly shatters. Entrusting the accuracy of information entirely to LLMs like ChatGPT is, in a production environment, akin to operating with unexploded ordnance in your stack. Drawing on the perspective proposed by the prominent engineer Qrara, we will take a deep dive from a tech evangelist’s viewpoint into why we must now re-evaluate and build “deterministic APIs.” ...