| title: Ep. 7 — Tokenization & Embeddings | |
| emoji: 🔤 | |
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| colorTo: purple | |
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| license: mit | |
| # 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) | | |
| ## Related | |
| - [EXD org](https://huggingface.co/EXD-AI) | [GitHub](https://github.com/Ramshreyas/EXD) | |