Tag: LangChain

  • Climate Data

    Climate Data

    In this example we use VerbaGPT to analyze some climate data. We use publicly available data from IMF. Video: Coming soon… We start by asking a simple data question. User question: Give me the temperature change in USA for 2015. VerbaGPT response: Cost of query: $0.00 Temperature change in USA for 2015: 1.531 Nice, clean…

  • Multiple Models

    Multiple Models

    In this example we ask VerbaGPT to give us the top 5 models to predict a variable. Video: User question: Give me the top 5 models to predict Rings. use r2 as performance metric VerbaGPT response: Cost of query: $0.00 Random Forest: 0.5727 Gradient Boosting: 0.5616 Linear Regression: 0.5390 XGBoost: 0.5213 Decision Tree: 0.1661 This…

  • Rank Top Drivers

    Rank Top Drivers

    In this example we ask VerbaGPT to give us a ranked list of variables that drive a target variable’s value. In this example we use the famous (in data modeling) Abalone dataset . Video: User question: Rank the top 5 variables that explain the variation in Rings VerbaGPT response: Cost of query: $0.00 Feature F-value…

  • SQL Joins + Plot

    SQL Joins + Plot

    In this example we ask VerbaGPT a plotting question that requires a non-trivial SQL query. Video of VerbaGPT in action: User question: Give me a bar plot of sales, by album, of U2 VerbaGPT response: Cost of query: $0.00 Answer: VerbaGPT identified the correct database (“Chinook”), identified relevant tables, performed the necessary joins and answered…

  • Vague/Complex Ask

    Vague/Complex Ask

    In this example we ask a vague question that isn’t straightforward, and requires joining tables in a relational database (Chinook) to give a response. Let’s see how VerbaGPT does. When I asked the question, I had “U2” in mind. Video: User question: Rank the top selling albums by that famous irish band. VerbaGPT response: Cost…

  • SQL Table Joins

    SQL Table Joins

    In this example we ask a a question that requires joining tables in a relational database (Chinook) to give a response. Video: Coming soon… User question: Give me the top 10 selling artists. VerbaGPT response: Cost of query: $0.00 Answer: (‘Iron Maiden’, 140) (‘U2’, 107) (‘Metallica’, 91) (‘Led Zeppelin’, 87) (‘Os Paralamas Do Sucesso’, 45)…

  • Linear Regression

    Linear Regression

    In this example we ask VerbaGPT to give us a model and associated performance metrics on some data. Video: User question: Give me a model to predict Rings. Provide at least two performance metrics, including r2 VerbaGPT response: Cost of query: $0.00 Answer: Mean squared error: 5.01 R-squared: 0.54 VerbaGPT answered the question correctly. Since…

  • Basic Plot

    Basic Plot

    In this example we ask VerbaGPT to produce a simple plot. Video: Coming soon… User question: Give me a histogram for Rings. VerbaGPT response: Cost of query: $0.00 Answer: VerbaGPT answered the question correctly. Since VerbaGPT comes with an embedding framework, it did not have to be told which database (i.e., Db_Test_01*) to look into,…

  • Summary Table

    Summary Table

    In this example we ask a simple question that gives counts of data. Video: Coming soon… User question: Give me a table of artist names from the data, sorted alphabetically. VerbaGPT response: Cost of query: $0.00 Answer: A Cor Do Som Aaron Copland & London Symphony Orchestra Aaron Goldberg AC/DC Academy of St. Martin in…

  • Basic Data Summary

    Basic Data Summary

    In this example we ask a simple question that gives counts of data. Video: Coming soon… User question: Give me the total number of artists in the data. VerbaGPT response: Cost of query: $0.00 Answer: Total number of artists: 275 VerbaGPT answered the question correctly. Since VerbaGPT comes with an embedding framework, it did not…