---
title: Ep. 7 — Tokenization & Embeddings
emoji: 🔤
colorFrom: gray
colorTo: purple
sdk: static
pinned: false
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) |

## 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.

## Related

- [Org hub](https://huggingface.co/EXD-AI)
- [GitHub](https://github.com/Ramshreyas/EXD)