Workflow Orchestration Challenges
Adam discusses the complexities of workflow orchestration in the context of machine learning and AI, highlighting the unique challenges posed by dynamic workflows driven by LLMs. He emphasizes the persistent issues of data pipeline failures and introduces new error types that emerge when working with LLMs, such as parsing errors. The conversation reveals how traditional ETL processes are evolving to accommodate these modern challenges.In this clip
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Practical AI
Practical workflow orchestration
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