Unleash the Power of ChatGPT Plugins!

Table of Contents

1. Introduction
2. What are Chat GPT Plugins?
3. Components of a Chat GPT Plugin
   • 3.1 Web Service
   • 3.2 Open API Specification
   • 3.3 Manifest
4. Building and Testing Chat GPT Plugins with .net
   • 4.1 Code Example
   • 4.2 Testing the Web Service
   • 4.3 Debugging the Plugin
5. Conclusion

Introduction

Welcome back to this machine learning and AI for beginners video series. In this video, we will be discussing chat GPT plugins, focusing on what they are, their Core components, and how to build and test them using .net.

What are Chat GPT Plugins?

Chat GPT plugins are tools designed for large language models like chat GPT. These plugins assist chat GPT in accessing up-to-date information from computations and utilizing third-party services. When a user submits a query or a question to chat GPT, instead of chat GPT attempting to answer it directly, it calls a web service to process the request, generate a response, and return it to the user in a human-friendly manner.

Components of a Chat GPT Plugin

To build a chat GPT plugin, You will need the following core components:

3.1 Web Service

The web service is a crucial component of the plugin. Typically, you would already have a web API or server function that can handle incoming requests. This web service will be responsible for processing the queries and generating appropriate responses.

3.2 Open API Specification

In addition to the web service, you will need an open API specification that outlines how this web service should be used. This specification provides a detailed description of the available endpoints, input parameters, and expected responses. It serves as a guide for chat GPT to Interact with the web service.

3.3 Manifest

The manifest contains essential information about the plugin. It informs chat GPT about the plugin's purpose and functionality. Moreover, it points chat GPT to the open API specification, ensuring the correct usage of the plugin.

Building and Testing Chat GPT Plugins with .net

Now, let's dive into building and testing chat GPT plugins using .net. We will walk you through the process step by step.

4.1 Code Example

In Visual Studio, we have an ASP.NET Core minimal web API with a single endpoint called "map get products." This endpoint takes a query from the user and searches a database for Relevant products. The data is stored in a JSON file.

4.2 Testing the Web Service

To test the web service, we configure the necessary Middleware in our application. This includes generating the open API specification for the service and enabling chat GPT to make requests to the web service. Additionally, we configure the use of static files middleware to expose the AI plugins manifest file.

4.3 Debugging the Plugin

To debug the plugin, we can set breakpoints in our code and inspect the requests made by chat GPT. By monitoring the requests, we can ensure that the plugin is functioning correctly and returning the expected results.

Conclusion

In this video, we explored the concept of chat GPT plugins, their core components, and how to build and test them using .net. Chat GPT plugins are excellent tools for enhancing the capabilities of language models, enabling them to access external information and interact with third-party services. By following the steps outlined in this video, you can Create and deploy your Own Chat GPT plugins with ease.

Highlights:

• Chat GPT plugins are tools that help language models access up-to-date information from computations and third-party services.
• The core components of a chat GPT plugin include a web service, an open API specification, and a manifest.
• Building and testing chat GPT plugins with .net involve setting up a web service, configuring middleware, and debugging the plugin.
• Chat GPT plugins enhance the capabilities of language models and enable interaction with external services.

FAQ:

Q: What are Chat GPT plugins?
A: Chat GPT plugins are tools that assist large language models like chat GPT in accessing up-to-date information from computations and using third-party services.

Q: What are the core components of a Chat GPT plugin?
A: The core components of a Chat GPT plugin include a web service, an open API specification, and a manifest.

Q: How can I build and test Chat GPT plugins using .net?
A: To build and test Chat GPT plugins with .net, you need to set up a web service, configure middleware, and debug the plugin using breakpoints and request inspection.

Q: What benefits do Chat GPT plugins offer?
A: Chat GPT plugins enhance the capabilities of language models by enabling them to access external information and interact with third-party services, expanding their range of responses and functionality.