Unit Testing for Natural Language (LLMs) + LMUnit model

The notebook includes working code for: ⚡ Batch evaluation of response quality 🎯 Polar plot visualizations of multi-dimensional scores 🔬 K-means clustering to identify aggregate response patterns 📱 Interactive analysis of evaluation results 00:00:00 - Introduction to Unit Tests 00:01:37 - Creating Unit Tests 00:04:06 - Starting with Notebook 00:07:24 - LM Unit Explanation 00:11:20 - Visualization Unit Test Results 00:13:44 - Clustering Analysis 00:16:34 - Results Interpretation Links: Notebook: https://github.com/ContextualAI/examples/blob/main/03-standalone-api/01-lmunit/lmunit.ipynb Paper: https://arxiv.org/abs/2412.13091 Blog Post: https://contextual.ai/lmunit/ Request API Key for LMUnit: https://contextual.ai/request-lmunit-api/ ━━━━━━━━━━━━━━━━━━━━━━━━━ ★ Rajistics Social Media » ● Home Page: http://www.rajivshah.com ● LinkedIn: https://www.linkedin.com/in/rajistics/ ━━━━━━━━━━━━━━━━━━━━━━━━━