Streamline AI Agent Evaluation with New Synthetic Data Capabilities
Our customers continue to shift from monolithic prompts with general-purpose models to specialized agent systems to achieve the quality needed to drive ROI...
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Databricks announces significant improvements to the built-in LLM judges in Agent Evaluation
An improved answer-correctness judge in Agent Evaluation Agent Evaluation enables Databricks customers to define, measure, and understand how to improve the quality of...
How Lakehouse AI improves model accuracy with real-time computations
The predictive quality of a machine learning model is a direct reflection of the quality of data used to train and serve the...
Simplifying Production MLOps with Lakehouse AI
Machine learning (ML) is more than just developing models; it's about bringing them to life in real-world, production systems. But transitioning from prototype...
How to Display Model Metrics in Dashboards using the MLflow Search API
Machine learning engineers and data scientists frequently train models to optimize a loss function. With optimization methods like gradient descent, we iteratively improve...