Build mock tearsheets of banking clients from made up data
First pass (6/22): Answer simple client questions given various resources.
- Build mock data (linkedin, bank facts, transactions) for one client
- Using an LLM, determine which data categories are relevant to an input question
- Produce the answer by embedding question and relevant data into a second prompt
6/23 meeting recap: The below WatsonX.ai generative platform resources will provide you with hands-on experience of the platform's capabilities:
- Watsonx.ai Workbench: Access the workbench to try out the promptlab.
- Watsonx GitHub: Explore the GitHub repository to gain how to use the ibm-generative-ai SDK
- Pitchbook Description Extraction: For insights into Pitchbook description extraction, refer to the Pitchbook-Description notebook.