Discover why ChatGPT isn't the problem—it's how you prompt it! Learn about five common mistakes users make that hinder effective results. From avoiding copy-pasting super prompts to building skill sets instead of just seeking outputs, the discussion emphasizes that mindset is key. They also explore how to leverage AI more effectively and the importance of crafting high-quality prompts. Plus, there's a chance to improve your prompting skills with a free course!
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volunteer_activism ADVICE
Stay Informed & Improve Prompting
Subscribe to the Everyday AI newsletter for AI news and happenings.
Access the free Prime Prompt Polish course to improve prompting skills.
insights INSIGHT
Lazy Prompting
Users are getting lazier with prompting, expecting better results with less effort.
The key is to improve prompting skills, not blame the large language model.
volunteer_activism ADVICE
Prompting Tips from Audience
Ask ChatGPT for a confidence score to gauge its understanding.
Regularly test ChatGPT's recall of information throughout the conversation.
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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.
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