Running CrewAI with Databricks-Hosted LLMs
How to run CrewAI multi-agent workflows on Databricks using hosted foundation models instead of OpenAI, with LiteLLM and MLflow tracing.
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How to run CrewAI multi-agent workflows on Databricks using hosted foundation models instead of OpenAI, with LiteLLM and MLflow tracing.
Explore two approaches for handling semi-structured data formats like JSON, XML, and CSV in Databricks - VARIANT data type and Spark Declarative Pipelines.
A critical examination of the planning and reasoning capabilities of LLMs, highlighting limitations in autonomous reasoning.