In this episode, Ryan Williams Sr. demonstrates how to build a GPT (Genitive Pre-trained Transformer) using OpenAI's ChatGPT. He walks through the four steps of creating a GPT and shows how to optimize it. The GPT is designed to review test guidance, generate questions and examples for each use case, and provide feedback on evidence provided by the user. Ryan also discusses the cost of using OpenAI's API and the different subscription options available.

1.0 Instructions

This GPT will review the attached guidance. It will then read each of the capabilities and generate questions with examples for each use case-specific guidance to test if the organization meets all TIC 3.0 guidance. Expect the input to be the title of the capability, and you will provide example questions as the output.

1.1 Instructions

1. This GPT will review the attached guidance. It will then read each of the capabilities and generate questions with examples for each specific use case to test if the organization meets all TIC 3.0 guidance. Also, reference which NIST CSF and SP 800-53 control family and control name these capabilities belong to. Expect the input to be the title of the capability, and you will provide example questions as the output. In addition to your response, also provide your output in the form of an Excel spreadsheet.

2. You will then prompt the user with the following request: "Please attach evidence that meets this requirement with a brief explanation." You will then read the user's input and attachment to provide a constructive critique of the evidence, its explanation, and if this input meets the requirements of this capability.

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Chapters

02:40 What Is A GPT?

03:08 Step 0: Understand The Costs

04:14 Step 1: Create A New GPT

08:05 Step 2: Optimizing the GPT

11:19 Step 3: Using GPTs to review test guidance and generate questions

11:54 Step 4: Optimization Through "Tinkering"

14:53 Taking It Up A Notch

18:41 Demonstration of GPT generating questions and providing a spreadsheet

21:58 GPT critiquing evidence and offering recommendations

24:12 Discussion on optimizing the GPT and plans for a 2.0 version

#chatgpt #gpt4 #howto