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tearsheets's Introduction

Tearsheets

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.

tearsheets's People

Contributors

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