Machine learning algorithms and models
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By Dr. Kobkrit Viriyayudhakorn, CEO & Founder, iApp Technology
How does your phone understand when you type in Thai? How can AI analyze thousands of customer reviews in seconds? How do chatbots know how to respond to your questions? The answer is Natural Language Processing or NLP. In this guide, we'll explain everything you need to know about Thai NLP in simple terms.
By Dr. Kobkrit Viriyayudhakorn, CEO & Founder, iApp Technology
One of the most common questions we hear from Thai AI engineers and technical teams is: "Should I use RAG or fine-tuning for my Thai language application?" It's a critical question that directly impacts development costs, performance, maintenance complexity, and long-term scalability.
The answer, as with most engineering decisions, is: it depends. But understanding when to use each approach—and increasingly, how to combine them—can mean the difference between a successful AI deployment and an expensive failure.
This article provides a comprehensive technical comparison of Retrieval-Augmented Generation (RAG) and fine-tuning specifically for Thai language applications, drawing from our experience at iApp Technology deploying both approaches across hundreds of Thai enterprises.