Building AI? Start With These 10 Concepts

Описание: AI used to feel complicated.

Not because it’s magic.
Not because it’s impossible.
But because everyone talks in buzzwords.

LLMs. Tokens. RAG. Agents. MCP. Fine-tuning. MoE.

In this video, I break AI down into 10 simple core ideas that remove the confusion and help you actually understand what’s happening under the hood.

We cover:

• Large Language Models as prediction engines
• Tokens and context windows
• AI agents and autonomous systems
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Fine-tuning
• Context engineering
• Reasoning models
• Multimodal AI
• Mixture of Experts (MoE)

Once you understand these concepts, AI stops feeling overwhelming.
It becomes structured. Logical. Buildable.

And here’s what makes this video extra special:

This entire series was built with AI — not just about AI.

I wrote the concepts.
Claude (via Anthropic’s Cowork) generated every line of animation code.
Remotion rendered everything in 1920×1080 at 30fps.

The workflow:

— I described each scene
— Claude generated the React + Remotion components
— I previewed in Remotion Studio and gave feedback
— Rendered to MP4

10 videos.
~250 lines of animation code each.
Zero manual keyframes.
Zero After Effects.

This is what AI collaboration looks like.

Not just generating text.
But building real production systems.

We’re not just talking about AI anymore.
We’re building with it. 🚀
#ArtificialIntelligence #AIExplained #GenerativeAI #LLM #AIAgents #RAG #MoE #AIInfrastructure #BuildWithAI #AIEngineering #Remotion