๐ŸŽ‰ New! GradientPond now supports LLM evaluation and prompt tracking. Here's how โ†’

Documentation

Guides, references, and tutorials to get the most out of GradientPond.

Quick Start

Get up and running with GradientPond in under 5 minutes. Install the SDK, initialize your project, and start logging experiments.

# Install GradientPond pip install gradientpond # Initialize in your script import gradientpond as gp gp.init(project="my-project")

Logging Metrics

Use gp.log_metric() to track any numeric value during training. Metrics are automatically versioned and visualized in your dashboard.

Next Steps

Explore the sidebar to learn about model registry, evaluation suites, and production monitoring capabilities.