Within the Databricks Community, there is a technical blog where community members share best practices, tutorials and insights on data analytics, data engineering and machine learning. If you aren’t already a member of the Databricks Community, check it out.
This month, we’re highlighting a few recent technical blogs that offer tips on building AI apps, prompting models, and monitoring shifts in data distribution.
Eight Weeks, Two Developers, One Production AI Conference Assistant
How the Databricks team built an AI assistant for the recent Data + AI Summit to support attendees with answers to questions about sessions, exhibitors, and general conference information.
Foundation Models API Prompting Guide 1: Lifecycle of a Prompt
Prompting tools and techniques for models accessible via the Databricks Foundation Model API, such as Llama 3.
MLOps – Beginners Guide to Monitoring
When it comes to maintaining model performance, your focus should be on monitoring both input and output data. Learn how to set up monitoring, which attributes to monitor and how to respond to detected failures.
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