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10min chapter
Practical workflow orchestration
Practical AI: Machine Learning, Data Science, LLM
Navigating Workflow Orchestration Challenges
This chapter delves into the complexities of workflow orchestration in machine learning, focusing on the importance of error handling and failure management. The discussion emphasizes the need for ergonomic orchestrators and addresses unique challenges posed by large language models in data engineering.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode