LLM vs Traditional Rule-Based Systems for NLP: A Comparative Analysis

Description and use

<p>We are going to build a support ticket triage agent that reads customer messages, classifies intent, and flags urgency. I will build the same logic twice: once with traditional regex and keyword rules, then with an LLM via Oxlo.ai. The comparison shows exactly where each approach breaks and why I switched to the LLM for production.</p> <h2 id="what-youll-need">What you'll need</h2> <p>You need Python 3.10 or newer, the OpenAI SDK, and an Oxlo.ai API key from <a href="https://portal.oxlo.ai" rel="noopener noreferrer">https://portal.oxlo.ai</a>. Install the SDK with pip.</p> <pre><code>pip in

Problem

<p>We are going to build a support ticket triage agent that reads customer messages, classifies intent, and flags urgency. I will build the same logic twice: once with traditional regex and keyword rules, then with an LLM via Oxlo.ai. The comparison shows exactly where each approach breaks and why I switched to the LLM for production.</p> <h2 id="what-youll-need">What you'll need</h2> <p>You need Python 3.10 or newer, the OpenAI SDK, and an Oxlo.ai API key from <a href="https://portal.oxlo.ai" rel="noopener noreferrer">https://portal.oxlo.ai</a>. Install the SDK with pip.</p> <pre><code>pip in

Outcome

<p>We are going to build a support ticket triage agent that reads customer messages, classifies intent, and flags urgency. I will build the same logic twice: once with traditional regex and keyword rules, then with an LLM via Oxlo.ai. The comparison shows exactly where each approach breaks and why I switched to the LLM for production.</p> <h2 id="what-youll-need">What you'll need</h2> <p>You need Python 3.10 or newer, the OpenAI SDK, and an Oxlo.ai API key from <a href="https://portal.oxlo.ai" rel="noopener noreferrer">https://portal.oxlo.ai</a>. Install the SDK with pip.</p> <pre><code>pip in

Evidence

LLM vs Traditional Rule-Based Systems for NLP: A Comparative Analysis

Source