Our Seven Step Process to Customize ChatGPT

Local ChatGPT Architecture

1. Define Scope & Problem Statement

  • What does successful Secure ChatGPT look like?
  • How will we measure success? Increased productivity? Reduced cost? Increased sales?
  • Develop a mutual project plan
  • Identify a mutual resource plan

2. Define Dataset & Documents

  • What documents are used for today’s business process?
  • How frequently are those documents updated?
  • Who needs access to those documents?
  • Where are those documents stored?
  • What is the most critical information in the documents?
  • Any PIA or HIPPA information?

3. Survey User Pain Points & Queries

  • What information is frequently needed?
  • How long does it take to find information?
  • What are some of the nuances of documents?
  • How are documents generated?
  • What information can be wrong in the document?

4. Modeling

  • Building the PrivateGPT
  • Ingesting the data
  • Prompt Engineering tuning
  • Knowledge-based tuning
  • Initial results accuracy & tone
  • Identify cases of hallucinations
  • Establish basic guardrails

5. Piloting with Limited Users

  • Pilot the PrivateGPT with limited users
  • Gather user feedback
  • Identify false responses

6. Iterate

  • Further, tune the model parameters to increase accuracy
  • Reduce/eliminate hallucination
  • Ingest additional documents
  • Establish new accuracy

7. Productionize PrivateGPT

  • Release the production version
  • Gather user feedback
  • Identify false responses
  • Monitor accuracy levels
  • Establish on-going support activities

Contact Us

  • 8859 Brookside Avenue. Suite 201. West Chester, OH 45069
  • apatel@mysecuregpt.com
  • 1-513-405-9002

Exploring customized AI tools for your organization? Let’s talk.

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