Everyday AI Podcast – An AI and ChatGPT Podcast

EP 343: Don’t Make These 5 ChatGPT Prompting Mistakes

Aug 23, 2024

Jordan, an expert on ChatGPT, dives into the world of effective prompting techniques to enhance AI interactions. He outlines five common mistakes users make, such as relying on copy-paste prompts and expecting shortcuts. The conversation emphasizes the need to shift one's mindset for better results. Jordan highlights the importance of developing skill sets over merely seeking outputs and explains why simply designating ChatGPT as an expert is ineffective. This insightful discussion provides practical tips for optimizing your use of ChatGPT.

29:22

Episode guests

Jordan

AI Summary

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Episode notes

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Quick takeaways

Effective prompting is crucial for maximizing ChatGPT's capabilities, as relying on generic prompts leads to poor overall results.

A shift in mindset from seeking quick outputs to developing prompting skills is essential for achieving higher-quality interactions with AI.

Deep dives

The Importance of Effective Prompting

Effective prompting is essential for maximizing the capabilities of large language models like ChatGPT. Many users underestimate the significance of well-structured prompts, often relying on generic or copy-paste ones that yield subpar results. For instance, the speaker emphasizes that while copy-paste prompts can be marginally effective, they fail to produce high-quality responses, thus hindering the user's overall experience. By treating prompting as a skill to be developed, users can enhance the quality of the outputs and minimize inaccuracies, or 'hallucinations', in the generated content.

Unpacking Common Prompting Mistakes for Better AI Outputs

29min

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Some people say AI doesn't work and that ChatGPT isn't good. But that's not true. The problem is with the prompts you're using. We want to show you 5 mistakes and help you improve your prompts for better answers from ChatGPT.

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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. Importance of Changing Mindset When Working with ChatGPT
2. Approaches to Use Large Language Models Effectively
3. Getting Quality Results from ChatGPT

Timestamps:
[00:00:55] Daily AI news
[00:05:12] Is ChatGPT getting lazier?
[00:11:15] Prompting is the issue
[00:13:55] Mistake #1 - Copy and paste super prompts
[00:18:30] Mistake #2 - Looking for outputs vs building skillsets
[00:22:18] Mistake #3 - Not using skill-based chats
[00:25:24] Mistake #4 - Telling ChatGPT it's an expert in X with X years of experience
[00:28:55] Mistake #5 - Using ChatGPT as a shortcut
[00:31:30] Final takeaway

Keywords:
ChatGPT, large language model, mindset change, multi-shot prompting, skill sets, training, expertise, AI news, Everyday AI, generative AI, Accenture, New York Times, AI editorial director, Humana, healthcare, daily newsletter, AI inner circle session, prompting mistakes, live audience input, multi-modality, text-to-text, text-to-photo, text-to-video, video-to-photo, text-to-video, video-to-text, engagement, ChatGPT memory, training, automation

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