Implementing Observability
Phillip emphasizes the importance of systematic editing and understanding changes when developing with large language models. He suggests that developers start by creating structured logs that capture both user inputs and model outputs, which can greatly enhance observability. This foundational step allows teams to ground their hypotheses in real data, ultimately leading to more effective improvements in their systems.In this clip
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SE Radio 610: Phillip Carter on Observability for Large Language Models
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