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AI Courses
5 public lists, written by people who know them.
AI Concepts - Basic to Advanced
Core AI concepts from What is AI, Machine learning to LLM Models and to Prompt Engineering, RAG, Loop engineer and other related concepts like token, runtime inference, KV Cache, MoE etc
AI Finally Makes Sense: 16 Essential Concepts Explained Simplyyoutube.com1. 16 Core Concepts
Building AI You Can Trust: Security, Memory, RAG & Governance Explainedyoutube.com2
AI Agents Finally Make Sense: Reasoning, MCP, Tools & Evals Explainedyoutube.com3
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The visual intuition, with 3Blue1Brown
But what is a neural network? | Deep learning chapter 1youtube.com
Gradient descent, how neural networks learn | Deep Learning Chapter 2youtube.com
Backpropagation, intuitively | Deep Learning Chapter 3youtube.com
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Understand LLMs
without writing code
[1hr Talk] Intro to Large Language Modelsyoutube.com
Deep Dive into LLMs like ChatGPTyoutube.com
Transformers, the tech behind LLMs | Deep Learning Chapter 5youtube.com
Neural networks from zero
with Karpathy
The spelled-out intro to neural networks and backpropagation: building microgradyoutu.be
The spelled-out intro to language modeling: building makemoreyoutu.be
Building makemore Part 2: MLPyoutu.be
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Start building, not just watching
Three courses where you write the code yourself.
Let's build the GPT Tokenizeryoutu.be
Let's build GPT: from scratch, in code, spelled out.youtube.comLet's build GPT: from scratch, in code — Karpathy
Practical Deep Learning for Coders: Lesson 1youtube.comPractical Deep Learning for Coders: Lesson 1 — Jeremy Howard