> ## Documentation Index
> Fetch the complete documentation index at: https://docs.realwarrenlee.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI

> Tricking rocks into thinking.

<Columns cols={2}>
  <Card title="Google Machine Learning" href="https://developers.google.com/machine-learning" />

  <Card title="Kaggle Learn" href="https://www.kaggle.com/learn" />

  <Card title="HuggingFace Learn" href="https://huggingface.co/learn" />

  <Card title="PyTorch Tutorial" href="https://docs.pytorch.org/tutorials" />

  <Card title="TensorFlow Tutorial" href="https://www.tensorflow.org/tutorials" />

  <Card title="Weights & Biases Tutorial" href="https://docs.wandb.ai/tutorials/" />

  <Card title="Cohere LLM University" href="https://cohere.com/llmu" />

  <Card title="OpenAI Spinning Up" href="https://spinningup.openai.com/" />

  <Card title="OpenAI Academy" href="https://academy.openai.com/" />

  <Card title="Anthropic Courses" href="https://anthropic.skilljar.com/" />
</Columns>

## Course

<Columns cols={2}>
  <Card title="Andrej Karpathy Course" href="https://github.com/karpathy/nn-zero-to-hero" />

  <Card title="David Silver Course" href="https://davidstarsilver.wordpress.com/teaching/" />

  <Card title="Deep Learning AI Course" href="https://www.deeplearning.ai/courses/" />

  <Card title="Fast AI Course" href="https://course.fast.ai/" />

  <Card title="MIT Linear Algebra" href="https://ocw.mit.edu/courses/18-06-linear-algebra-spring-2010/" />

  <Card title="MIT Multivariable Calculus" href="https://ocw.mit.edu/courses/18-02-multivariable-calculus-fall-2007/" />

  <Card title="Khan Academy Linear Algebra" href="https://www.khanacademy.org/math/linear-algebra" />

  <Card title="Khan Academy Multivariable Calculus" href="https://www.khanacademy.org/math/multivariable-calculus" />

  <Card title="Harvard CS50AI" href="https://cs50.harvard.edu/ai/" />

  <Card title="Stanford Machine Learning" href="https://cs229.stanford.edu/" />

  <Card title="Stanford Probabilistic Graphical Models" href="https://ermongroup.github.io/cs228/" />

  <Card title="Stanford Machine Learning" href="https://cs229.stanford.edu/" />

  <Card title="MIT Deep Learning" href="https://introtodeeplearning.com/" />

  <Card title="Stanford Deep Learning" href="https://cs230.stanford.edu/" />

  <Card title="Stanford Computer Vision" href="https://cs231n.stanford.edu/" />

  <Card title="Stanford Natural Language Processing" href="https://cs224n.stanford.edu/" />

  <Card title="UC Berkeley Deep Reinforcement Learning" href="https://rail.eecs.berkeley.edu/deeprlcourse/" />

  <Card title="Stanford Transformers United" href="https://web.stanford.edu/class/cs25/" />

  <Card title="Stanford Large Language Models" href="https://stanford-cs324.github.io/" />

  <Card title="Stanford Building a LLM" href="https://stanford-cs336.github.io/" />
</Columns>

## Book

<Columns cols={2}>
  <Card title="Deep Learning" href="https://www.deeplearningbook.org/" />

  <Card title="Neural Networks" href="http://neuralnetworksanddeeplearning.com/" />
</Columns>

## Visual

<Columns cols={2}>
  <Card title="3Blue1Brown" href="https://www.3blue1brown.com/topics/neural-networks" />

  <Card title="Welch Labs" href="https://www.welchlabs.com/" />
</Columns>