Cookbooks

Use embeddings to explore lower-dimensional representations of your data, identifying clusters of high drift and performance degradation. Complement this with statistical analysis of structured data for A/B testing, temporal drift detection, and deeper performance insights.

Embeddings Analysis: Data Exploration

Analyze GPT Prompt and Response Data

Find Clusters, Export, and Explore with GPT

Embeddings Analysis: Model Performance

Active Learning for a Drifting Image Classification Model

Root-Cause Analysis for a Drifting Sentiment Classification Model

Troubleshooting an LLM Summarization Task

Structured Data Analysis

Detecting Fraud with Tabular Embeddings