Know These 7 AI terms Before You Invest in AI (Guardrails, MCP, Fine-Tuning & More)
💼 Need help implementing AI in your business? Submit your project request: https://go.datalumina.com/LGtLhG5 🛠️ Are you a developer interested in AI? Want to learn real AI Engineering? Go here: https://go.datalumina.com/DNB2Vc6 Want to start freelancing? Let me help: https://go.datalumina.com/wCzXU9b ⏱️ Timestamps 00:00 Introduction 00:31 AI Agents 02:31 Vector Databases 04:30 RAG 06:09 MCP 09:35 Context Engineering 11:06 Guardrails 13:21 Fine-Tuning 16:27 Wrap & Next Video 📌 Description Understanding AI today often feels like drowning in buzzwords: RAG, MCP, vector databases, context engineering, guardrails… the list never ends. Scroll LinkedIn or Twitter and it’s just a wall of acronyms. But luckily, you don’t need to learn everything. You only need to understand a handful of key concepts that actually matter if you want to make sense of how AI systems really work. In this video, I break down 7 essential AI terms you need to know in 2025. In plain English explanations with real-world examples and analogies you won’t forget. Whether you’re a developer, a technical leader, or a curious professional trying to follow AI conversations at work, these concepts will give you the clarity you need. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!
