Hi all, I'm Syed, leading the development of VerbaGPT, and I'm excited to share with you a privacy focused text-to-python generator. The product is in beta, and free to use. I'd love to get your feedback! With VerbaGPT you can connect to CSV files or Microsoft SQL server, and ask questions. You can ask simple data aggregation questions, develop charts, or do more complex analysis (e.g., "build me a predictive model to predict X"). More importantly, VerbaGPT runs locally in your browser. Your connection credentials remain private, and it shares only the schema with the LLM. The LLM never has access to the underlying data. You explicitly control what is shared with the LLM by editing a schema csv file. The ultimate vision of VerbaGPT is that anyone in an organization can ask a question, and get accurate information from any size of databases. Frankly, we are not there today, but with constant improvements in LLM, this vision has a chance of becoming reality one day. What VerbaGPT does today, is that it allows users and organizations to experiment with this technology, and keep up with the developments. Also, it can be useful to draft code quickly given your schemas. It is hard for new analysts to know how things are organized. With VerbaGPT's simple schema curation as a forcing function, it can be useful to ask questions and get a running start on analytics.