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Three reasons your custom GPT in ChatGPT isn't working — and how to fix it

#AI Tools
2025-04-15 11:327 min read

Content Introduction

In this video, the speaker shares insights on custom GPTs, particularly focusing on challenges faced during their implementation. They outline three main issues: the limitations of file uploads, the need for accurate updates of the custom GPT's behavior, and the necessity for it to reference uploaded content effectively. The speaker emphasizes the importance of training the custom GPT to provide responses based on specific uploaded materials rather than relying on general knowledge. They detail their experiences in ensuring the GPT understands and correctly utilizes course materials, showcasing their approach as both a teaching tool and a technical challenge. The video aims to help others navigate similar issues when creating their own custom GPTs, encouraging feedback and further exploration of the topic.

Key Information

  • The speaker has extensive experience with custom GPTs and explores what they can do, particularly in educational contexts.
  • Three main issues are identified: maximum file uploads limited to 20, updating GPT behavior, and ensuring specific responses from the custom GPT.
  • To effectively utilize custom GPTs, users should clearly instruct the model to reference specific materials they have uploaded to ensure accurate responses.

Timeline Analysis

Content Keywords

Custom GPT

The speaker shares insights on the issues encountered while using custom GPTs, including limitations such as not being able to update responses based on uploaded materials and the maximum file upload constraints (20 files). They discuss ways to address these limitations, including combining files into larger documents and providing sufficient prompts to ensure the GPT references specific materials.

Data Visualization Education

The speaker teaches a course on data visualization and emphasizes the importance of providing specific, relevant answers in response to students' queries. They explain that the custom GPT should ideally reference course materials for more accurate and contextually aware responses, contrasting generic answers with tailored inputs that reflect the taught concepts.

Upload Limitations

The script discusses the upload limitations of custom GPTs, specifically that users often receive an 'error saving draft' message when exceeding the limit of 20 files. It emphasizes understanding this limit and exploring ways to effectively manage and combine content to navigate this constraint.

Troubleshooting Custom GPT

The speaker outlines troubleshooting steps for ensuring that the custom GPT behaves as expected. This includes prompting the model about whether it has searched the knowledge base before responding and ensuring that users interact with the system to encourage proper updates and references to the uploaded materials.

Interface Inefficiencies

The speaker describes frustrations with the user interface of the custom GPT, noting that certain interactions feel clunky and require repeated iterations for the model to produce the desired responses. They provide clarity on how interaction with the model can improve its performance over time.

Related questions&answers

Why is my custom GPT not working?

There could be multiple reasons including file upload limits, not providing specific content for reference, or issues with instruction clarity.

How many files can I upload to my custom GPT?

Currently, you may only upload up to 20 files to a custom GPT.

How do I ensure my custom GPT references the uploaded materials?

You should explicitly instruct the GPT to reference the specific materials you've uploaded while providing context about your topics.

What should I do if the responses from my custom GPT seem generic?

You may need to refine your prompts or clarify instructions for the GPT to ensure more relevant answers related to your specific content.

What can I do if I encounter an error while uploading files?

Errors may occur if you exceed the file upload limit or if the interface has issues. Check for file sizes and formats, and restart the upload process if needed.

How can I get my custom GPT to behave like a tutor?

You need to upload educational materials and instruct the custom GPT to answer questions based on the content you've provided.

Why does my GPT not reference the latest uploaded material?

Sometimes, the GPT might not register the latest files due to backend processing issues. You might need to prompt it or re-upload the materials.

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