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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 takeawayTopics Covered in This Episode:1. Importance of Changing Mindset When Working with ChatGPT2. Approaches to Use Large Language Models Effectively3. Getting Quality Results from ChatGPTKeywords:**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
