Episode Notes:
We hear a lot about AI, such as chatbots, copilots, cool demos, but what’s really happening under the hood? In this episode of The Next Step, I break down how today’s AI systems actually work: from large language models to retrieval-augmented generation, function calling, agents, and knowledge bases. Whether you’re building, buying, or just curious, this is the practical guide to how AI gets things done.
Key Takeaways:
LLMs are powerful, but they need context.
RAG gives AI the ability to “look things up”.
Function calling lets models take real-world action.
Agents bring autonomy and adaptability.
Knowledge base gives AI access to what your business actually knows.
If this helped you better understand AI, share it with a colleague and follow The Next Step for more real-world conversations on how AI is reshaping how we work.
Read the Full Article:
What I Wish More People Knew About How AI Works Today
AI is everywhere right now. From chatbots that answer your questions to copilots that write code, we’re seeing a wave of “intelligent” tools hit the market. But beneath the surface, most people still don’t quite understand what’s going on. AI is a layered system of memory, logic, tools, and planning, all working together to create something that feels intelligent.
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