Use Cases
- Evaluate performance of multiple language models for readability and response quality
- Automate data collection and analysis for language model testing
- Track model performance metrics over time using Google Sheets
How It Works
Trigger the workflow upon receiving a chat message Retrieve the list of available language models from the local server Capture start and end timestamps for performance measurement Run selected models with dynamic inputs and analyze responses Calculate readability scores and other metrics for each response Save the analyzed results to Google Sheets for easy access and review
Setup Steps
- 1Import the workflow template into n8n
- 2Update the Base URL to match your LM Studio server IP
- 3Ensure LM Studio is running and models are loaded
- 4Configure Google Sheets node with your document ID and sheet name
- 5Test the workflow by sending a chat message to trigger the analysis
Apps Used
Google Sheets
LM Studio
OpenAI
Categories
Tags
#ai content generation
#text processing
#workflow management