Reducing Recruiting Costs Using Databricks Foundation Models

Explore a 12-minute conference talk on reducing recruiting costs through the implementation of Databricks Foundation Models. Learn how a genAI application was built for non-technical recruiters to evaluate candidates' technical capabilities based on their resumes. Discover the multi-agent approach that leverages the Databricks Foundation Model API to assess resume alignment and provide recommendations for candidate progression. Gain insights into the technical infrastructure, including Google Cloud Storage for data ingestion, Google Firestore for storing inference results, and a containerized Flask application served via Google Cloud Run. Witness a demonstration of the application in action and benefit from shared learnings on implementing and leveraging Databricks Foundation Models in a production environment. Presented by Gary Nakanelua, Managing Director of Technology at Blueprint, this talk offers valuable insights for organizations looking to streamline their recruiting processes and reduce associated costs.

How We Reduce Recruiting Costs Using Databricks Foundation Models