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.
Reflections on intelligence, artificial and otherwise.
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.
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.
A framework for understanding and building effective AI systems, inspired by Maslow's hierarchy of needs.
An NLP analysis of Samsung Galaxy S8 vs. Apple iPhone 8 & X using social media data.
An examination of Amazon Web Services as the fastest growing and most profitable division of Amazon, exploring its evolution since 2006 and significance in cloud computing.
A project using OCR technology to convert Kannada text to Braille format for visually impaired individuals.