```text Create a polished, animated SVG that explains how a ...

Prompt

```text Create a polished, animated SVG that explains how a large language model generates text. It should be understandable to a curious non-expert while remaining technically accurate. Use the example prompt: “The capital of France is” Show the process step by step: 1. Break the text into tokens. 2. Turn each token into an embedding and add positional information. 3. Pass the representations through transformer layers. 4. Zoom into one layer to show causal self-attention, a feed-forward network, normalization, and residual connections. 5. Show how attention connects each token to relevant earlier tokens while preventing access to future tokens. 6. Convert the final representation into logits and then a probability distribution for the next token. 7. Show illustrative options such as “Paris — 72%,” “the — 8%,” and “Lyon — 3%.” 8. Select “Paris,” append it to the prompt, and repeat the process to demonstrate autoregressive generation. Also briefly explain that training is when the model learns its parameters, while this animation shows inference using those already-learned parameters. End with this takeaway: “An LLM converts text into tokens, builds context-sensitive representations, predicts the next token, and repeats. It learns patterns rather than storing exact answers, so it can still produce confident mistakes.” Use a modern, clean infographic style with a dark background, readable labels, color-coded tokens, smooth arrows, subtle glows, and purposeful animation. Include a progress indicator and Play/Pause and Restart controls. Make the full animation about 25 seconds and ensure it loops smoothly. The output must be one self-contained, responsive 1600×900 SVG using only inline SVG, CSS, and minimal vanilla JavaScript. Do not use external assets, libraries, fonts, raster images, or `<foreignObject>`. Include accessible `<title>` and `<desc>` elements and support reduced motion. Keep the diagrams simplified but accurate. Do not imply that the model is conscious, that attention fully explains its decisions, or that the most likely token is always selected. Return only the complete SVG source, with no Markdown or explanation. ```