An online dating platform employed AI moderation using ChatGPT, achieving a 60-fold reduction in review time through effective custom prompt engineering and in-house data labeling. A tutorial on scalable multi-tenant authorization using RBAC highlights fine-grained and relationship-based permission capabilities. PyIceberg streamlines interactions with Apache Iceberg in Python, avoiding JVM requirements, making it accessible for small to mid-sized data lakehouses. Additionally, HackerNoon is partnering with the Sia Foundation to ensure the backup and preservation of its entire publishing archive.
An online dating platform scaled AI moderation with ChatGPT and custom prompt engineering, cutting review time by 60 times through in-house data labeling.
Implement scalable multi-tenant authorization with RBAC and Permit.io, enabling support for fine-grained and relationship-based permissions for enhanced security.
PyIceberg allows simplicity in working with Apache Iceberg using Python, eliminating the need for JVM clusters and making it ideal for middle-sized data lakehouses.
A partnership between HackerNoon and the Sia Foundation will back up the entire publishing archive, marking a significant step in data preservation.
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