Deep Tech Talks

Ep. 3. ✨Talking to Machines: A Beginner’s Guide to Prompt Engineering

11 min · 4 de ago de 2025
Portada del episodio Ep. 3. ✨Talking to Machines: A Beginner’s Guide to Prompt Engineering

Descripción

🗣️ Ever feel like ChatGPT just doesn't get you? In this episode of Deep Tech Talks, we unpack the basics of prompt engineering, the art of asking AI the right way. Learn how small changes in your prompts can lead to clearer, smarter, and more helpful responses. 🎯 No technical background needed. Just practical tips, real-world examples, and a few fun stories to help you stop guessing and start getting better results from AI. 🔜 Stay tuned for next week’s episode, Prompting with Purpose, where we take things one step further.

Comentarios

0

Sé la primera persona en comentar

¡Regístrate ahora y únete a la comunidad de Deep Tech Talks!

Empezar

2 meses por 1 €

Después 4,99 € / mes · Cancela cuando quieras.

  • Podcasts solo en Podimo
  • 20 horas de audiolibros / mes
  • Podcast gratuitos

Todos los episodios

4 episodios

Portada del episodio Ep. 2. ✨The Agentic AI Wave: Unlocking Autonomous Intelligence

Ep. 2. ✨The Agentic AI Wave: Unlocking Autonomous Intelligence

Let’s be honest, most of us are still wrapping our heads around generative AI… and now there’s this new wave called #AgenticAI. Never heard of it? You’re not alone. But here’s why it matters: #AgenticAI isn’t just about generating content, it’s about giving AI the ability to act, adapt, and pursue goals on its own. I was thrilled to host Adit Sheth, Senior Engineer at Microsoft, on Deep Tech Talks for a conversation that dives deep into the future of Agentic AI, where machines go beyond outputs and start making decisions. In this episode, we explored a powerful shift that’s already reshaping how AI is built, deployed, and trusted in real-world systems. Here’s are the key highlights: * What truly makes an AI system agentic and how it differs from #generativeAI? * The tech stack powering this shift: modular architecture, semantic memory, and plug-and-play adapters. * Why is building agents the easy part, and designing trust, control, and alignment is the real challenge? * How agentic AI introduces new layers of risk? * Real-world use cases. It’s time to rethink AI. Not as a tool, but as a co-worker helping you move faster, smarter, and with more context. Are we ready for that? Have a question about agentic AI? Drop it in the comments, we’ll answer them in upcoming threads.

21 de jul de 202512 min