Improve Your GPT Building Skills - Challenge #22

Improve Your GPT Building Skills - Challenge #22

by The AI Advantage

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 The AI Advantage 👥 480K 📅 June 4, 2024 ⏱ 97 min 👁 7K 📄 tutorial 🧭 2026-09-08
Available in: English (current) Français

Keywords

GPT BuilderCustom GPTPrompt engineeringAI tutorChallenge

Summary

In this live stream, the host of The AI Advantage presents a public challenge for building custom GPTs, while also providing a tutorial on using his custom GPT Builder tool. He explains the concept of ‘building blocks’—modular functionalities that can be added to a GPT’s instructions—and demonstrates how to use the builder to create a machine learning tutor. The stream includes a live demonstration of building a GPT, a discussion of updates to the builder (version 1.3), and a Q&A session. The host emphasizes the importance of clear purpose and goal definition, and shows how to customize the GPT’s behavior through a series of questions. He also mentions a surprise demo involving an ‘Unreal AI’ and a ‘Reverse Turing Test’. The video is aimed at viewers interested in practical AI application and customization, and it encourages community participation in the challenge.

141 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides practical value by demonstrating a concrete workflow for building custom GPTs, using a specific tool (the GPT Builder) and explaining the underlying prompt engineering concepts. The host’s argumentation is based on his experience and community feedback, which lends credibility but is not scientifically rigorous. He clearly explains the ‘building blocks’ approach, which is a useful mental model for GPT customization. The live demonstration is valuable as it shows real-time problem-solving and iteration. However, the argumentation is largely anecdotal and lacks empirical evidence or comparative analysis.

Scientific Rigor, Source Quality, Title Accuracy

The video is not a scientific source; it is a tutorial and community engagement. The host references his own GPT Builder and provides links to the prompt and challenge, but these are not external scientific sources. The title accurately reflects the content. The video’s rigor is limited by the lack of citations and the subjective nature of the advice. The host does mention that the GPT Builder is based on trial and error, which is honest but not a rigorous methodology. The community feedback is used to iterate, which is a form of validation but not scientific.

200 words

Title / Content Match

The title accurately reflects the content: a live stream focused on improving GPT building skills through a public challenge and tutorial.

Quality & Reliability

7/10

The video is a practical tutorial with live demonstrations, but it lacks rigorous scientific depth and relies on anecdotal evidence. The creator is transparent about the iterative process and provides links to resources, but the content is not peer-reviewed and contains subjective opinions.

Chapters

Cited Sources

Concurring Sources

  • OpenAI Custom GPTs — Official documentation on creating custom GPTs, which aligns with the video's tutorial.

Contribution & Novelties

The video introduces a practical framework for building custom GPTs using ‘building blocks’, which is a novel approach for structuring GPT instructions. It also provides a live demonstration of the process, which is valuable for learners. The ‘GPT Builder’ tool itself is an original contribution, though it is based on existing prompt engineering techniques.

Pour aller plus loin :

  • Custom GPT documentation — Official OpenAI documentation on creating custom GPTs.
  • Prompt engineering guide — A comprehensive guide to prompt engineering techniques.
  • GPT-4 technical report — The technical paper on GPT-4, which underpins the capabilities of custom GPTs.

97 words

Radar Profile

The radar profile shows a balanced but moderate performance across all dimensions, with slightly higher scores in information quantity and technical level, reflecting the tutorial nature of the content. The low reliability score indicates the lack of scientific rigor and reliance on anecdotal evidence.

Reliability 6/10