Someone dropped a quiet little build that’s going to save a lot of confused mid-build Googling. 310 AI terms. Each one defined in 1-2 sentences. No paper abstracts pretending to be explanations. It covers the full stack: fundamentals like tokens and embeddings, training concepts like LoRA and RLHF, and the newer agent and infra layer (ReAct, tool use, HNSW, MoE, flash attention). Basically the vocabulary you need to stop feeling lost every time a framework doc assumes you already know this stuff.
Here’s the twist: there’s a built-in flashcard feature. That changes what this thing is. It’s not a reference doc you bookmark and forget. It’s a training tool. Quiz yourself before a deep dive. Hand it to a new teammate who’s ramping up on AI. Watch them get up to speed in hours instead of weeks.
How to use it:
- 🔍 Open llmforest.com/dictionary and search any term that’s been tripping you up
- 📖 Read the definition (genuinely 1-2 sentences, they’re not exaggerating)
- 🃏 Switch to flashcard mode and run 20 terms before your next AI project session
- 👥 Share it as onboarding material for anyone new to your AI stack
Pro tip: Hit the agent and infra section before reading any new framework docs. Pre-loading the vocabulary makes everything click on the first pass instead of the third.
Go bookmark it. 📚 llmforest.com/dictionary, and run the flashcards at least once.
300+ AI/LLM terms defined in plain English — open glossary with flashcards
by u/Vegetable_Farm_4229 in PromptEngineering