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We discuss the challenges of LLM application development beyond the prototype and why Apache Airflow was highlighted for its ability to enable day-2 operations for LLM applications.
Introduction to LLMs and the generative AI : Part 2 — LLM pre-training and scaling laws, by Yash Bhaskar
10 Common Misconceptions about Airflow, by Henry Weller
Gregory Diamos en LinkedIn: GitHub - lamini-ai/lamini
Why Quizlet chose Apache Airflow for executing data workflows, by Dustin Stansbury
Open Source MLOps: Platforms, Frameworks and Tools
3 steps for Building Airflow Pipelines with Efficient Resource Utilisation, by Vachan Anand, Jul, 2022, Medium
How Apache Airflow simplifies LLM workflows
Gregory Diamos en LinkedIn: GitHub - lamini-ai/lamini
Shopify's Practical Guidelines from Running Airflow for ML and Data Workflows at Scale - InfoQ
Apache Airflow on EKS: Swiss Army Knife Deployment
Explore informative blogs about machine learning
Ask Astro: Operationalizing Data Ingest for Retrieval Augmented Generation with LLMs, Part 3
How Apache Airflow simplifies LLM workflows