EXD — Self-Directed PhD in AI
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All EXD content: interactive simulators, benchmark datasets, vLLM configs, and episode write-ups. • 6 items • Updated
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Ep. 7 — Tokenization & Embeddings
How does a sentence become a list of vectors — and what does that space look like?
Contents
- Notebook:
tokenization_and_embeddings.ipynb
Sections
| # | Topic |
|---|---|
| 0 | Full pipeline — text → tokens → atom (live vLLM inference) |
| 1 | BPE tokenization from scratch |
| 2 | The embedding matrix — loading Qwen's actual weights |
| 3 | Exploring embedding space (t-SNE, cosine similarity, nearest neighbors) |
Hardware
The notebook connects to the live vLLM server on atom (DGX Spark, Grace-Blackwell) for the inference section. Tokenizer and embeddings are loaded directly from Qwen/Qwen3.6-35B-A3B weights.
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