Some people say that AI stinks. ChatGPT isn't any good. Well we're here to break the news to you. ChatGPT doesn't suck. Your prompts do. We're showing you what you're doing wrong and how to improve your ChatGPT prompts to improve your results and responses.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions about ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

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

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

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

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Ready for ROI on GenAI? Go to youreverydayai.com/partner