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Install Private GPT library in your PC, train AI Models and Chat with your private docs offline

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Private GPT helps you to Ingest your documents and get answers of your questions from your documents, locally/offline. We can implement the PrivateGPT using GitHub open source library called "privateGPT". Following is the the url to access the library which contains completed implementation details including prerequisite like system requirement, software required to run the code. https://github.com/imartinez/privateGPT Using Private GPT library we can query the offline documents without need of internet however while setup we required to connect to the internet. In this article i going to show you how to implement the PrivateGPT in your PC. Following is the list of software to be installed in the PC before installing the PrivateGPT. Visual Studio Code latest GIT Latest Python Visual Studio 2022 (Make sure you select Universal Windows Platform development , C++ CMake tools for Windows components while installing) MinGW installer with gcc component Once you install the above s

Integrate ChatGPT OpenAI API in .NET Core Console Application from scratch.

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  In this Article I am going to demonstrate the integration of ChatGPT OpenAI API in .NET Core Console Application from scratch step by step.      Using ChatGPT API we can integrate the AI in our application just we need to call the API with the help of generating the secret key in ChatGPT developer page following is the steps to generate the secret key with screenshots.  You need to login with the ChatGPT credentials before generating the Secret Key.  On right corner of the page, click on personal icon and then click on View Api Key link On API Keys page click on +Create new secret key button  Then type your desired API key name and then click on   Create secret key button Your API key will be generated then click on copy button to copy the key and save it safely. Congratulation!!! your API key is created for use in console application.        Now we have the secret key with us then we can now move to ChatGPT page and get the code for the integration with console application from