AI Model Training for Lao Language & Your Data

Start with a test, not with training

Before any training we write a Lao test set with your staff: 100 to 200 real questions, letters and translations from your work, kept apart and never used for training. We run two or three open-weight base models against it and pick the one that already handles Lao best. Sometimes the result is that a good base model plus a document assistant is enough, and training is not needed.

How we train

• Clean the Lao text: one Unicode form, fixed vowel order, duplicates and web junk removed, phone and ID numbers stripped
• Train small add-on layers (LoRA) instead of the whole model, so one AI machine is enough for a mid-size model
• Mix in Thai and English so the model does not lose them
• Save checkpoints every few hours, so a power cut costs hours, not days

Measure before you trust it

Every training run is scored on the same test set, and a general-knowledge check makes sure nothing else got worse. Two or three Lao speakers then compare answers blind, without knowing which model wrote them. A model only goes live if it clearly beats the base model it started from.

Hardware and handover

A mid-size model trains on a single AI workstation with 128 GB of memory; larger runs use two machines linked at 100 to 200 Gb/s. We hand over the trained model, the test set and the scores, and the model runs on your own AI server. Each month we collect wrong answers from real use, correct them with your staff and train the next round.

Send us on WhatsApp five typical Lao questions your staff ask every day and roughly how many documents you have, and we will tell you whether training is worth it.