Deep Research: Comparing Model Performance
Multi-step AI workflow for dataset research and model comparison
Overview
Starting with a dataset of financial news articles financial-news-articles, test multiple models’ ability to accurately summarize each article and determine which performs best.
Steps
- Load the dataset
- Give the model a research prompt
Use chat to request: “Summarize each news article using claude-haiku, claude-sonnet, and gpt-5-mini. Then compare their summaries and explain how the models perform differently. Which model do you recommend for best quality?”
Expected Results
- Summary Comparison: An analysis of the strengths and weaknesses of each model's summaries
- Model Recommendation: A recommendation for which model to use for best summary results
Other Use Cases
- Dataset Discovery - Use natural language to search and discover datasets
- Data Transformation - Categorize and derive insights from unstructured text
- Patient Data Workflow - Extract, filter, and export structured medical data
- Quality Filtering - Remove low-quality responses from datasets