ChatGPT : rédiger les meilleurs Prompts en 2024 (Tuto Complet)

ChatGPT : rédiger les meilleurs Prompts en 2024 (Tuto Complet)

🎙 Ludo Salenne 👥 267K 📅 January 23, 2024 ⏱ 30 min 👁 83K 📄 tutorial 🧭 2026-08-21
Available in: English (current) Français

Keywords

promptChatGPTrolecontextexampleschain-of-thoughtcustom instructions

Summary

This tutorial by Ludo Salenne aims to teach viewers how to craft effective prompts for ChatGPT, emphasizing the importance of prompt engineering. The video begins with a ’test à l’arrache’ (sloppy test) showing a generic prompt and its mediocre output, then introduces the core concept that ChatGPT is a probabilistic text generator, not a reasoning engine. The creator then presents five best practices: 1) assigning a specific role to ChatGPT, with detailed descriptions of expertise; 2) clearly defining the task, ensuring it is not too complex and breaking it down if necessary (prompt chaining); 3) providing detailed context about the user or the task, either directly in the prompt or via Custom Instructions; 4) listing desired response characteristics and providing examples, including the technique of reverse engineering; and 5) a bonus tip about using a specific structure for prompts. Throughout the video, the creator demonstrates each practice with live examples, comparing outputs from sloppy versus optimized prompts. The video also includes a promotional segment for the creator’s paid course on automating ChatGPT. The final part shows a side-by-side comparison of the initial sloppy prompt and an optimized one, highlighting the significant improvement in response quality.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides high practical value for beginners and intermediate users of ChatGPT, offering clear, actionable techniques that are immediately applicable. The argumentation is built on live demonstrations and comparative tests, which effectively illustrate the impact of each best practice. The creator’s analogy of a bag of marbles helps explain the probabilistic nature of ChatGPT in an accessible way. However, the argumentation relies heavily on anecdotal evidence and personal experience rather than systematic or scientific evaluation. The promotional segment for the paid course, while clearly separated, may be seen as a conflict of interest, though it does not undermine the core educational content.

Scientific Rigor, Source Quality, Title Accuracy

The video demonstrates a reasonable level of scientific rigor for a practical tutorial. The creator references a LinkedIn post by Jean-François Messier to discuss the debate on role assignment, but does not provide a direct link to the post in the description, only to a LinkedIn feed update. The description includes links to other tutorials on the channel, but no external scientific sources. The title accurately reflects the content, and the video is well-structured with clear chapters. The creator encourages viewers to test and verify claims, which is a good practice. However, the lack of citations to academic or authoritative sources limits the scientific depth.

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Title / Content Match

The title accurately reflects the content: a comprehensive tutorial on crafting effective prompts for ChatGPT, with practical examples and best practices.

Quality & Reliability

7/10

The video provides practical, actionable advice on prompt engineering, supported by live demonstrations and comparisons. The creator acknowledges the evolving nature of AI and encourages viewers to test and verify claims themselves. However, the content is largely based on personal experience and anecdotal evidence rather than peer-reviewed research, and the promotional segment for a paid course may introduce bias.

Chapters

Cited Sources

Concurring Sources

Dissenting Sources

  • LinkedIn post by Jean-François Messier — The video discusses a LinkedIn post that argues against the necessity of assigning roles to ChatGPT, which contradicts the video's first best practice. The creator refutes this claim with demonstrations.

Contribution & Novelties

The video offers a structured, practical guide to prompt engineering for ChatGPT, synthesizing common best practices into a clear framework. While not introducing novel scientific concepts, it provides a valuable compilation of techniques with concrete examples and comparisons. The emphasis on testing and the inclusion of a bonus tip on prompt structure add practical value.

Pour aller plus loin :

95 words

Radar Profile

The radar profile shows high scores in information quantity and quality, indicating a content-rich tutorial. The technical level is moderate, suitable for a broad audience. The overall reliability is good, though the promotional segment and lack of external citations slightly reduce the score.

Reliability 7/10

💬 Très positif. Sur les 30 commentaires analysés, la grande majorité exprime une forte appréciation du contenu, soulignant sa clarté, sa pédagogie et son utilité pratique, avec plusieurs témoignages de succès suite à l'application des conseils.