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Prompting a large language model requires a bunch of tech know-how right?↳ Super structured inputs↳ RAG↳ Fine-tuningMeh. Not so much. The best way to prompt your way to better results? Flex your domain expertise. Jared Zoneraich, Founder of PromptLayer, joins us to discuss.Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Ask Jordan and Jared questions on building AI)**Related Episodes: **Ep 164: ChatGPT Doesn’t Suck. Your Prompts Do.)Ep 179: Mastering Prompts With An OpenAI Ambassador – The One Secret Skill Revealed)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Topics Covered in This Episode:1. Importance of prompt engineering2. Role of non-technical domain experts3. Evolving landscape of AI technology4. Future concerns and preparationsTimestamps:**01:35 Daily AI news04:32 About Jared and PromptLayer07:19 Creating successful AI product hinges on expertise.08:45 Simplifying AI development and retaining human input.11:50 Small models vs big models: implications for AI.17:10 LLMs elevate conversation and knowledge sharing.21:12 Product success depends on voice and connection.22:29 Rapid adaptation to new technology creates disparity.27:02 Prepare AI models, modular approach, conversational application.29:38 Key steps in maximizing AI model productivity.**Keywords:**Jordan Wilson, prompt engineering, machine learning, Pope Francis, ethical AI, G7 summit, AI regulation, General Paul Nakasone, OpenAI, cybersecurity, Microsoft, recall feature, privacy advocates, Jared Zoneraich, Prompt Lair, nontechnical domain experts, AI products, AI services, Cursor, Copilot, Hevia, ParentLab, Gorgias, communication skills, large language models, commoditization of knowledge, computational thinking, AI revolution, AI applications, human expertise in AI.
