Error Handling Insights
Phillip discusses the challenges of managing output limits in software models, particularly when valid JSON structures fail to meet system requirements. By systematically tracking errors and implementing corrective measures, significant improvements in reliability were achieved, boosting performance from 65-70% to 90%. This highlights the critical importance of understanding and addressing errors effectively in software development.In this clip
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Software Engineering Radio - the podcast for professional software developers
SE Radio 610: Phillip Carter on Observability for Large Language Models
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