All pages
Powered by GitBook
1 of 1

Loading...

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.

Cover

Embeddings Analysis: Data Exploration

Cover

Embeddings Analysis: Model Performance

Cover

Structured Data Analysis

Analyze GPT Prompt and Response Data
Find Clusters, Export, and Explore with GPT
Active Learning for a Drifting Image Classification Model
Root-Cause Analysis for a Drifting Sentiment Classification Model
Troubleshooting an LLM Summarization Task
Detecting Fraud with Tabular Embeddings