Implement multi-stage reasoning in Azure Databricks
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Multi-stage reasoning systems break down complex problems into multiple stages or steps, with each stage focusing on a specific reasoning task. The output of one stage serves as the input for the next, allowing for a more structured and systematic approach to problem-solving.
Identify the need for multi-stage reasoning systems., Describe a multi-stage reasoning workflow., Implement multi-stage reasoning with libraries like LangChain, LlamaIndex, Haystack, and the DSPy framework.
Prerequisites
Before starting this module, you should be familiar with Azure Databricks. Consider completing Explore Azure Databricks before starting this module.
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