🧠 AI Basics: From Prompts to RAG in 12 Easy Steps 🚀

😇 12 Steps to Understand AI (no apostles included, I swear!) 😂🙏

Ever asked WTF is a RAG and all those confusing AI terms?
The world of applied artificial intelligence is totally here 🤖, and we're all getting sucked into it whether we like it or not. I thought it'd be cool to clear things up, since I keep seeing people mixing them up or pretending they know.
If you're just getting started or need a quick refresher, THIS is your post! 💡

Here are 12 key AI concepts, organized from the simplest to most complete. No rocket science here, just curiosity 🧑‍💻✨

🔍 Let's simplify these 12 fancy words

• ✍️ Prompt: The text you feed the model to ask or instruct something.
• 🤖 LLM (Large Language Model): Models like GPT-4 that understand human language and generate responses.
• 🎯 Fine-tuning: Training a model with your own data to make it specialized.
• 📋 Instruction tuning: Special fine-tuning to make a model follow clear, structured instructions.
• 🔢 Embedding: Turning text into numerical vectors to enable meaning-based search.
• 📚 Vector DB: Databases storing embeddings to quickly find similar meanings (like Chroma, Pinecone).
• 🛠️ External Tool/API: Functions (APIs) that models can call to perform specific tasks.
• ⛓️ Prompt chaining: Connecting multiple prompts to solve complex tasks step-by-step.
• 🕵️ Agent: Systems using models and tools to independently make decisions and take actions.
• 🧑‍💻 Orchestration Framework: Tools like LangChain or Semantic Kernel (.NET) that integrate models, data, and logic together.
• 🎨 Visual Orchestration UI (e.g., Flowise): No-code visual interface to build LangChain-style workflows without coding.
• 📡 MCP (Model Context Protocol): A standardized way for models to interact with external tools and APIs.
• 🌐 RAG (Retrieval-Augmented Generation): Advanced technique where the model retrieves real info (documents, data) before responding—combining everything above.

⚠️ If you’re dying to correct me… yeah, I know it’s 13 concepts. But c’mon 🤷‍♂️, I had to say “12 steps” or I’d miss the apostles joke 😇✝️😂 Let’s keep the spirit light, shall we?

📘 The Big Picture (literally!)

🎯 Bottom Line: Understanding these concepts gives you all you need to jump right into AI, whether coding or using visual tools. Let's build something awesome! 🚀💪

#AI #LangChain #Flowise #SemanticKernel #PromptEngineering #RAG #Embedding #FineTuning