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You’ve heard about Snowflake’s new capabilities, our fresh products and innovations that help bring AI and apps to life. Now, it’s time to BUILD. Join us for BUILD 2024, a three-day global virtual conference taking place Nov. 12-15, to hear major Snowflake product announcements firsthand and to learn how to build with our latest innovations through dozens of technical sessions and hands-on labs.
As an introvert, do you ever feel like your coworkers are screaming for attention while you're being overlooked? Learn how to advocate for your promotions.
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Today we are excited to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP) for PDF document analysis, “ Document Analysis with Command R and FAISS ”, leveraging Cohere’s Command R Large Language Model (LLM), the Cohere Toolkit for retrieval augmented generation (RAG) applications, and Facebook’s AI Similarity Search (FAISS).
Today we are excited to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP) for PDF document analysis, “ Document Analysis with Command R and FAISS ”, leveraging Cohere’s Command R Large Language Model (LLM), the Cohere Toolkit for retrieval augmented generation (RAG) applications, and Facebook’s AI Similarity Search (FAISS).
Last year, we were given the task to create a conference talk-assignment-algorithm, for our company’s internal conferences. In the first blog , we explored how to assign talks in a single time slot, which is really the bedrock of the algorithm. However, looking at the bigger picture, being fair across multiple time slots is also highly important. We would not want the same attendees to always get their second choice, or worse still their third choice across multiple slots.
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