This 200-Line Python Script Beats ChatGPT in Specific Tasks: Here’s How

Everyone talks about how ChatGPT can “do everything.” But the truth is sometimes, a small, purpose-built Python model can outperform ChatGPT in narrow domains.

Last month, I built a 200-line Python script that consistently beats ChatGPT in one specific task: summarizing medical abstracts. It’s faster, more accurate for domain-specific keywords, and 100% offline.

Let’s dive into how I did it — and why smaller, specialized LLMs can sometimes win.

💡 Why Build a Smaller Model?

ChatGPT is powerful but generalized. It knows a bit about everything but not everything about one thing.
When you need something specialized — like parsing medical jargon, legal text, or financial reports — a fine-tuned, focused model can:

✅ Understand domain-specific vocabulary
✅ Follow consistent formatting rules
✅ Run faster and cheaper
✅ Protect your data (no cloud API calls)

So I decided to build a tiny summarizer trained only on biomedical text.

🧠 The Core Idea

The trick isn’t to build a large model — it’s to build a retrieval-augmented…