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title: EXD — Self-Directed PhD in AI
emoji: 🧠
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# 🧠 EXD — Self-Directed PhD in AI
**Engineering mastery through first principles, from the top down.**
A deep dive into AI engineering — fine-tuning, architectures, inference optimization, and systems thinking. Work backwards from high-level concepts to fundamentals.
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## 🗺️ Episodes
| # | Title | Video | Interactive | Article |
|---|-------|-------|-------------|---------|
| 01 | Intro to EXD | [📺 Watch](https://youtu.be/mUFNk2yOblc) | — | — |
| 02 | Setup & First Inference | [📺 Watch](https://youtu.be/pPboQK6hXBw) | — | [📖 GitHub](https://github.com/Ramshreyas/EXD/blob/main/episodes/Ep02/ep2-setup-and-first-inference.md) |
| 03 | Inference Benchmarking | [📺 Watch](https://youtu.be/BwMJo25iK9A) | [🚀 Simulator](https://huggingface.co/spaces/EXD-AI/inference-simulator) | [📖 GitHub](https://github.com/Ramshreyas/EXD/blob/main/episodes/Ep03/ep3-inference-benchmarking.md) |
| 04 | Performance Tuning | [📺 Watch](https://youtu.be/jUDci02mTOM) | [🚀 Sim v2](https://huggingface.co/spaces/EXD-AI/inference-simulator-v2) | [📖 GitHub](https://github.com/Ramshreyas/EXD/blob/main/episodes/Ep04/ep4-inference-benchmarking-continued.md) |
| 05 | Speculative Decoding | [📺 Watch](https://youtu.be/ip8G_ukhI7E) | [⚡ Spec Decode](https://huggingface.co/spaces/EXD-AI/speculative-decoding-simulator) | [📖 GitHub](https://github.com/Ramshreyas/EXD/blob/main/episodes/Ep05/shownotes.md) |
| 06 | Taking Stock | [📺 Watch](https://youtu.be/bFWP2QDxAAU) | — | — |
| 07 | Tokenization & Embeddings | [📺 Watch](https://youtu.be/E03MyfzUsJI) | [🔤 Notebook](https://huggingface.co/datasets/EXD-AI/episode-07-tokenization) | [📖 GitHub](https://github.com/Ramshreyas/EXD/blob/main/episodes/Ep07/tokenization_and_embeddings.ipynb) |
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## 📦 Artifacts
| Type | Name | Description |
|------|------|-------------|
| 📊 Dataset | [benchmark-results](https://huggingface.co/datasets/EXD-AI/benchmark-results) | Performance data from inference sweeps |
| ⚙️ Dataset | [vllm-configs](https://huggingface.co/datasets/EXD-AI/vllm-configs) | Production vLLM configuration profiles |
| 📝 Article | [GitHub episodes](https://github.com/Ramshreyas/EXD/tree/main/episodes) | Full write-ups for each episode |
| 📓 Notebook | [episode-07-tokenization](https://huggingface.co/datasets/EXD-AI/episode-07-tokenization) | Tokenization & embeddings deep-dive |
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## 🌐 Links
📺 [YouTube Channel](https://youtube.com/@EXD-ai) · 💻 [GitHub](https://github.com/Ramshreyas/EXD) · 🏗️ [@EXDai](https://huggingface.co/EXDai) · 📚 [Collection](https://huggingface.co/collections/EXD-AI/EXD-AI/exd-self-directed-phd-in-ai-6a3bbd3cbac6d838d3c749e2)
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## 🛠️ Focus Areas
- Model fine-tuning (LoRA, QLoRA, RLHF/DPO)
- Transformer architectures (attention variants, MoE)
- Inference optimization (quantization, KV cache, speculative decoding, compilation)
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*Work backwards. Understand everything.*
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