Demo of Custom GPTs: Accessing Deep Knowledge

This demo showcases the power of feeding diverse data sources into GPT models to create deeply customized knowledge bases. Imagine having instant access to specific research papers, internal documentation, or any other relevant data, all seamlessly integrated into a conversational AI interface. This is the potential unlocked by this technology.

How it Works

The system allows you to connect various data sources on the left-hand side of the interface. Once connected, you can ask questions directly related to the content of those sources. The underlying GPT model processes your query in conjunction with the provided data, giving you highly accurate and context-specific answers.

Data Source Integration

The flexibility of this demo lies in its ability to ingest a wide range of data types. You can connect:

• Scientific Papers: Access and query information from research papers, like the example provided (Karpathy, 1706.03762, PMC8859990). This allows for rapid literature review and knowledge extraction.
• Internal Documentation: Integrate company wikis, manuals, or other internal documents to create a powerful internal knowledge base.
• Custom Datasets: Connect your own datasets to enable question-answering directly from your specific data.

Key Benefits

• Enhanced Accuracy: By grounding the GPT model in specific data, the accuracy of responses is significantly improved.
• Time Savings: Quickly access and process information from multiple sources without manual searching.
• Improved Efficiency: Streamline workflows by integrating information directly into your conversational AI experience.
• Deep Customization: Tailor the knowledge base to your exact needs and data sources.

Limitations

Currently, the demo is disabled due to high volume. This highlights the computational demands of processing and integrating large datasets in real-time. Future improvements will focus on scaling the system to handle increased demand.

Using Your Own API Key

For those with their own OpenAI API keys, you can integrate them for personalized access. However, for security reasons, it's recommended to create a new key specifically for this purpose and delete it immediately after use.

Future Developments

Future iterations of this demo will focus on:

• Improved Scalability: Addressing the current volume limitations.
• Enhanced Data Integration: Supporting a wider range of data formats and sources.
• Advanced Querying: Implementing more sophisticated query capabilities.

This demo represents a significant step towards creating highly customized and accurate AI-powered knowledge access systems.