🔩 How to train your AI: strategies for high-impact prompting with Mike Taylor, Author and Prompt Engineer

In this episode, we welcome Mike Taylor, an AI and prompt engineering expert. Mike shares his insights on the five key principles of prompt engineering, illustrating how these strategies can optimize AI performance and transform your projects.

From practical tips to real-world applications, discover how to make AI work smarter for you. Don't miss this deep dive into the future of AI and its potential to revolutionize the industry.

KEY HIGHLIGHTS
⚖️ Early AI prompting requires arranging words in specific ways to get desired results.

⏱ Dividing labor among AI tasks helps avoid conflicting instructions and improves outcomes.

💎 Prompt engineering is likened to early growth hacking, emphasizing scalable solutions.

🧷 Running multiple prompts and comparing results can optimize AI performance.

✂️ Using AI as a brainstorming partner is beneficial for generating creative ideas.

🔍 The accessibility of coding and AI tools has increased, making it easier for non-programmers.

🗝 AI tools can automate repetitive and tedious tasks, freeing up time for more creative work.

📚 Using Dreambooth for training AI models with client-specific data improves consistency in outputs.

🛒 AI-generated scripts can improve significantly with the addition of training examples.

📐 Techniques like chain of thought and giving AI thinking space enhance task performance.

Check out the show notes here: https://mobileuseracquisitionshow.com/episode/prompt-engineering-mike-taylor/

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