2 posts tagged with "Thai Language AI"

Today we are releasing OpenThai 2.0 Legal, an open-weight large language model purpose-built for Thai law — and we are giving away the full weights on Hugging Face. It is built by Thais, for Thailand: for lawyers, in-house counsel, compliance teams, legal-tech builders and public agencies that need reliable, source-grounded answers on Thai statutes and case law.

👉 Model page: iapp.co.th/openmodels/openthai2p0-legal · Weights: huggingface.co/iapp/openthai2.0-legal-thaillm-nemotron-3-nano-30b-a3b

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.