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Watch a 29-minute technical talk exploring the implementation of Large Language Model (LLM) applications using Apache Airflow, presented by Kaxil Naik, Senior Director of Engineering at Astronomer. Learn essential design patterns for integrating enterprise data with AI applications, focusing on orchestrating both structured and unstructured data alongside tools like OpenAI's GPT-4 and HuggingFace. Gain practical insights through real-world examples demonstrating how to scale machine learning workflows effectively, including detailed demonstrations of Retrieval Augmented Generation (RAG) implementation and GitHub code deployment. Master the fundamentals of building reliable AI-driven systems while discovering upcoming Airflow enhancements and new providers for LLM integration, particularly valuable for professionals in AI, data science, and engineering seeking to advance their knowledge in natural language processing and workflow automation.
