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

Win a free year of ChatGPT or other prizes! Find out how.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.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions about ChatGPTUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1.  Importance of Changing Mindset When Working with ChatGPT2. Approaches to Use Large Language Models Effectively3. Getting Quality Results from ChatGPTTimestamps:[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 takeawayKeywords: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, automationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)