In our recent webinar "How to Build Custom GPTs Using OpenAI Functions" SingleStore panelist team discussed custom Generative Pre-trained Transformers (GPTs), which are AI models tailored for specific tasks or industries, fine-tuned to provide accurate and relevant responses based on specialized data. These models differ from standard GPTs in that they are trained on specific datasets, making them more efficient in niche applications like legal analysis or medical research. Custom GPTs can handle sensitive data securely, although OpenAI's privacy and security commitments for enterprise customers are still evolving. SingleStoreDB efficiently manages both structured and unstructured data, making it an ideal choice for giving custom GPTs the additional data context they need to provide powerful, scalable, real-time responses. No-code platforms allow users to create custom GPTs without in-depth programming knowledge, making the technology accessible to a wider audience. Custom GPTs can generate reports or summaries and are bound by the quality and breadth of their training data, with limitations such as file upload limits and instruction length limits that can be overcome using the Assistants API and SingleStoreDB.