LLM Workflows Explained
Adam discusses how LLM workflows transform traditional machine learning processes by enabling users to leverage natural language for model creation. He highlights the ease of debugging and observation due to the transparency of logic in these workflows. Additionally, he emphasizes the advantages of agentic workflows for complex decision-making tasks, where LLMs can dynamically adapt and refine plans, outperforming conventional methods.In this clip
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Practical AI
Practical workflow orchestration
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