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EP 294: Why the Future of AI Will Be Built by Non-Technical Domain Experts

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Manage episode 423572452 series 3470198
内容由Everyday AI提供。所有播客内容(包括剧集、图形和播客描述)均由 Everyday AI 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Send Everyday AI and Jordan a text message

Prompting a large language model requires a bunch of tech know-how right?
↳ Super structured inputs
↳ RAG
↳ Fine-tuning
Meh. 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: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Importance of prompt engineering
2. Role of non-technical domain experts
3. Evolving landscape of AI technology
4. Future concerns and preparations
Timestamps:
01:35 Daily AI news
04:32 About Jared and PromptLayer
07:19 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.

  continue reading

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Artwork
icon分享
 
Manage episode 423572452 series 3470198
内容由Everyday AI提供。所有播客内容(包括剧集、图形和播客描述)均由 Everyday AI 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Send Everyday AI and Jordan a text message

Prompting a large language model requires a bunch of tech know-how right?
↳ Super structured inputs
↳ RAG
↳ Fine-tuning
Meh. 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: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Importance of prompt engineering
2. Role of non-technical domain experts
3. Evolving landscape of AI technology
4. Future concerns and preparations
Timestamps:
01:35 Daily AI news
04:32 About Jared and PromptLayer
07:19 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.

  continue reading

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