The Challenge of Prompting ChatGPT Yourself: Behind the Scenes of Our Service

The Challenge of Prompting ChatGPT Yourself: Behind the Scenes of Our Service

Valérian de Thézan de Gaussan Valérian

March 22, 2024 · 6 min read

Artificial Intelligence has transformed the way we interact with technology, providing new ways to automate tasks, generate content, and process information. However, even advanced AI models like ChatGPT come with their own set of challenges, especially when it comes to prompting and obtaining accurate results. In this article, we explore some common issues faced when prompting ChatGPT and how YouTube Summary addresses these challenges to deliver precise summaries and notable quotes.

Why It's Hard

Getting ChatGPT to say the right thing is like finding your way through a maze. There are so many ways to ask, and language is complicated. People struggle to find the right words to get the response they want.

Why Context Matters

ChatGPT needs to know what you're talking about to give a good answer. If you don't give enough info, it might get confused or give the wrong answer. So, it's important to give clear details when you ask ChatGPT something.

How to Ask Well

To get the best response from ChatGPT, you need to ask in a smart way. You have to be clear but not too strict. You also need to be ready to try different ways of asking until you find what works best. Various techniques exist, like few-shots or even asking the model to take time to "think"!

An AI trying to figure out how to correctly prompt on ChatGPT.
Generative AI can be very impressive, but you must master the art of asking it the right questions.

Common Issues with Prompting ChatGPT

While ChatGPT is incredibly powerful, it is not without its flaws. Users often encounter several issues when trying to obtain accurate and relevant responses. Here are some common problems:

Inaccuracy and False Information

One of the most significant challenges is the potential for inaccuracy and the generation of false information. While ChatGPT strives to provide accurate responses, it can sometimes produce content that is not factually correct or misinterprets the context of the query.

Understanding Negation

ChatGPT often struggles with understanding negation in prompts. For instance, when asked to "draw an image in pencil style," the AI might mistakenly include a pencil in the image instead of adopting a pencil drawing style. Similarly, when instructed "do not use this," the model might still include the word or concept in its response simply because it was mentioned in the prompt.

Handling Specific Instructions

Another issue arises when giving specific instructions to avoid certain content. For example, in YouTube Summary, we faced challenges with our notable quote prompt. We provided some notable quote examples and instructed ChatGPT not to use them in the final output. Despite this, the AI continued to include the example quotes in its responses, failing to adhere to the given instructions.

YouTube Summary: Overcoming the Challenges

At YouTube Summary, we have developed strategies to address these common issues and improve the accuracy and relevance of the summaries and notable quotes generated by ChatGPT.

Using yt-dlp for Accurate Transcripts

We start by using the yt-dlp library to extract accurate transcripts from YouTube videos. This provides a reliable text version of the video content, which is crucial for generating precise summaries and quotes.

Custom Prompts for Different Categories

We categorize the videos into specific categories such as Entertainment, Educational, Lifestyle, Technology, Gaming, News and Commentary, Art and Creativity, Science and Nature, Business and Finance, and Wellness and Self-Improvement. Each category has a custom prompt tailored to extract the most relevant information.

Filtering and Validating Responses

We employ additional filtering and validation steps to ensure the AI-generated summaries and quotes adhere to the instructions. By cross-referencing the responses with the original content, we can identify and correct inaccuracies, ensuring the final output is both accurate and relevant.

An AI taking time to make corrections.
An AI is capable of taking time to correct itself.

Conclusion

While AI models like ChatGPT offer incredible potential, they are not without their challenges. Issues such as inaccuracy, misunderstanding negation, and handling specific instructions can complicate the process of obtaining precise results. At YouTube Summary, we have developed robust methods to overcome these challenges, ensuring that our AI-generated summaries and notable quotes are accurate, relevant, and reliable. Discover the difference with YouTube Summary and enhance your content consumption experience in 2024.

What is next?

Stay tuned for our next article, and I will explain how to get the best out of YouTube lectures in 30 seconds.

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