Title: How to Create a Custom ChatGPT Using Your Own Data and OpenAI’s API
Have you ever wanted to enhance the capabilities of ChatGPT and provide it with your own data? In this step-by-step guide, we will show you how to build a custom ChatGPT instance using OpenAI’s API and LangChain. By doing so, you can personalize interactions, incorporate domain-specific expertise, and ensure that ChatGPT stays up to date with the latest information.
Why Should You Provide ChatGPT with Custom Data?
Feeding ChatGPT with custom data offers several advantages over using it in its default state. Here are a few benefits of providing ChatGPT with your own data:
1. Personalized Interactions: By training ChatGPT on specific datasets relevant to you or your organization, you can create a more customized experience. The responses generated will be tailored to your unique needs and preferences.
2. Domain-Specific Expertise: Integrating custom data allows ChatGPT to specialize in particular domains or industries. It can be trained on industry-specific knowledge, terminology, and trends, leading to more accurate and insightful responses in those areas.
3. Current and Accurate Information: Access to updated information ensures that ChatGPT remains current with the latest developments and knowledge. It can provide accurate responses based on recent events, news, or research, making it a reliable source of information.
Now let’s dive into the step-by-step process of creating your own custom ChatGPT instance using your local computer.
Step 1: Install Necessary Software and Download the Pre-Made Script
To begin, you’ll need to install Python3, Git, Microsoft C++, and download the ChatGPT-retrieval script from GitHub. Ensure that all software is updated to the latest versions. Here’s how to get started:
– Install Python3, Git, and Microsoft Visual Build Tools on your Windows 10 or Windows 11 machine.
– Make sure to select the option to add Python to your PATH during the Python3 installation.
– Download the ChatGPT-retrieval script from GitHub.
Step 2: Set Up the Local Environment
After installing the required software, open the terminal in the chatgpt-retrieval-main folder where you downloaded the script. Follow these steps:
– Open the chatgpt-retrieval-main folder, right-click, and select Open in Terminal.
– In the terminal, run the command pip install langchain openai chromadb tiktoken unstructured to create the Python virtual environment.
– Generate an API key from the OpenAI API keys site and copy the provided string of characters. This key will grant access to OpenAI’s services.
– Open the constants file in the chatgpt-retrieval-main folder and replace the placeholder with your OpenAI API key. Save the file.
Now you have set up the local environment and added your API key.
Step 3: Add Your Custom Data
To provide ChatGPT with custom data, place the desired text data in the data folder within the chatgpt-retrieval-main directory. You can include files in formats such as PDF, TXT, or DOC.
Step 4: Query ChatGPT through the Terminal
The Python script allows you to query both the custom data you added and the internet. Now, let’s test if ChatGPT has successfully accessed our custom data:
– Run the command python chatgpt.py ‘YOUR QUESTION’ in the terminal, replacing YOUR QUESTION with your desired query.
– Wrap your question in quotation marks.
By following these steps, you can interact with ChatGPT using your custom data.
Limitations of Custom ChatGPT
While custom ChatGPT instances are powerful, they do come with a few limitations:
1. Providing Data Yourself: You must supply all the data you want ChatGPT to be knowledgeable about. If you need information from the internet that ChatGPT doesn’t already know, you’ll need to scrape and save it as a text file in the data folder.
2. Longer Loading Time: Querying ChatGPT using this method takes more time compared to direct interaction.
3. Limited Model Availability: The current available model for custom ChatGPT instances is GPT-3.5 Turbo. Even if you have access to GPT-4, you cannot use it for this purpose.
Build Your Own Custom ChatGPT
Integrating your own data with ChatGPT can unlock its full potential. Although there are limitations, this method allows you to prompt ChatGPT with any text data and receive tailored responses. As integration with the Language Model gets easier, and newer models like GPT-4 become accessible, the possibilities will only expand.
