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📖 Minor formatting improvements to book intro

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✨ Title Formatting:
- Split title into main header and subtitle for better readability
- Enhanced visual hierarchy in book introduction

🚀 Content Updates:
- Changed 'rocket ship' to 'AI rocket ship' for more specific branding
- Added '(Harvard)' to Prof. Vijay Janapa Reddi reference for clarity
- Maintains professional attribution while being more informative

Result: Cleaner book intro formatting with improved readability and attribution.
This commit is contained in:
Vijay Janapa Reddi
2025-07-18 08:29:36 -04:00
parent 69a63a1541
commit af932fe682
1 changed files with 5 additions and 3 deletions
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8
book/intro.md
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@@ -12,7 +12,9 @@ html_meta:
"name=twitter:image": "https://mlsysbook.github.io/TinyTorch/logo.png"
---
# Tiny🔥Torch: Build your own Machine Learning framework from scratch.
# Tiny🔥Torch
## Build your own Machine Learning framework from scratch.
**Most ML education teaches you to _use_ frameworks. TinyTorch teaches you to _build_ them.**
@@ -29,11 +31,11 @@ TinyTorch is a minimalist educational framework designed for learning by doing.
**Result:** You become the expert others ask about "how PyTorch actually works."
```
_Everyone wants to be an astronaut._ 🧑‍🚀 _TinyTorch teaches you how to build the rocket ship._ 🚀
_Everyone wants to be an astronaut._ 🧑‍🚀 _TinyTorch teaches you how to build the AI rocket ship._ 🚀
```{admonition} 📖 Complementary Learning
:class: note
For comprehensive ML systems knowledge, we recommend [**Machine Learning Systems**](https://mlsysbook.ai) by [Prof. Vijay Janapa Reddi](https://profvjreddi.github.io/website/). While TinyTorch teaches you to **build** ML systems from scratch, that book provides the broader **systems context** and engineering principles for production AI.
For comprehensive ML systems knowledge, we recommend [**Machine Learning Systems**](https://mlsysbook.ai) by [Prof. Vijay Janapa Reddi](https://profvjreddi.github.io/website/) (Harvard). While TinyTorch teaches you to **build** ML systems from scratch, that book provides the broader **systems context** and engineering principles for production AI.
```
---