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.
CrewAIDatabricksLLM
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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.
A critical examination of the planning and reasoning capabilities of LLMs, highlighting limitations in autonomous reasoning.
How RAPTOR improves LLM information retrieval through hierarchical summarization trees.
How LoRA (Low Rank Adaptation) helps fine-tune neural networks using fewer parameters, making the process faster and more efficient.