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Foundational AI and LLM Terminology Guide

tiktokweak

Low-confidence capture. Useful as a lead, not a recommendation.

Original post

TL;DR

A collection of foundational AI/ML terminology including embeddings, temperature, softmax, beam search, logits, zero-shot learning, prompt injection, and harness — core concepts underlying modern large language models and AI systems. These concepts form the bedrock of how modern LLMs (like GPT, Gemini, and Claude) work. Understanding them allows practitioners and users to better design prompts, evaluate model behavior, identify security risks (e.g. prompt injection), and tune outputs for their use cases.

What it actually is

  • What: A collection of foundational AI/ML terminology including embeddings, temperature, softmax, beam search, logits, zero-shot learning, prompt injection, and harness — core concepts underlying modern large language models and AI systems.
  • Who built it / maintained by: General AI/ML research community; concepts originated across academic institutions and major AI labs (OpenAI, Google DeepMind, Meta AI, etc.)
  • Status: stable
  • Why it matters: These concepts form the bedrock of how modern LLMs (like GPT, Gemini, and Claude) work. Understanding them allows practitioners and users to better design prompts, evaluate model behavior, identify security risks (e.g. prompt injection), and tune outputs for their use cases.
  • How it compares to alternatives:
  • fast.ai (practical deep learning education)
  • Andrej Karpathy's Neural Networks: Zero to Hero course
  • DeepLearning.AI courses
  • Hugging Face documentation
  • The Illustrated Transformer (Jay Alammar)
  • GitHub stars: 0 · License: unknown · Archived: no

Links

  • (no links found)

Kickstarter guide

Start by reading Andrej Karpathy's blog or watching his 'Neural Networks: Zero to Hero' series on YouTube for hands-on intuition. The Hugging Face course (huggingface.co/learn) covers embeddings, tokenization, and model inference with runnable code. For prompt injection specifically, the OWASP LLM Top 10 (owasp.org) is the definitive reference. Experimenting directly with the OpenAI Playground's temperature slider is the fastest way to internalize how temperature and logits affect output.

Retry history

  • Updated: 2026-07-06
  • Previous filename: 20260628-8-ai-words-everyone-pretends-to-understand-save-this-so-you-.md
  • Generated filename: 20260628-8-ai-words-everyone-pretends-to-understand-save-this-so-you-.md