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AI 100: Fundamentals
Course Intro
Course Intro (6:50)
🖥️Virtual Machine Setup (10:58)
Intro to Neural Networks
🖥️How do Neural Networks Work Part 1 (12:25)
🖥️How do Neural Networks Work Part 2 (11:50)
🖥️Neural Network Training Lab Part 1 (14:49)
🖥️Neural Network Training Lab Part 2 (7:28)
Section Recap (8:16)
✏️Check-In Quiz
Intro to Natural Language Processing
What is NLP? (10:55)
Representing Words as Vectors and word2vec (4:40)
🖥️Word2vec Lab (10:40)
Neural Network Bigram and Trigram (9:47)
🖥️Neural Network Bigram Lab (4:58)
Recurrent Neural Networks (10:07)
🖥️Recurrent Neural Networks Lab (7:50)
✏️Check-In Quiz
Introduction to Large Language Models
Intro to LLMs (7:49)
Transformer Decoder Architecture (10:39)
🖥️LLM Attention Lab (13:20)
How LLM Attention Works (25:31)
✏️Check-In Quiz
Self-Hosting LLMs
Section Intro (5:24)
🖥️Ollama (6:37)
🖥️Interacting with the Ollama API (6:21)
System Prompts (4:01)
🖥️System Prompt Lab (6:01)
Temperature and Top-p (7:32)
🖥️Temperature and Top-p Lab (4:53)
Transformer Decoder Architecture
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