JevMade Sign in
← Back to guides

JevMade field notes / Training pipeline

Build a Thai and English AI tool for sorting text

This guide explains how to train an AI tool to read Thai and English text and choose the best category for it. The author breaks the training process into clear, separate steps to track how the software was built.

Original by iApp TechnologyIntegrations

Listen to this guide

JevMade’s plain-English explanation

0:00 /

Our summary

This project provides instructions for building an AI tool that reads text in Thai and English. It works like Jev, which is an AI tool that chooses from set options rather than writing an open answer. Someone might use this to automatically sort customer service messages into the right department.

The creator breaks the training into separate steps for teaching the language, practicing the choices, and testing the final software. Each step saves its own settings and results. This separation helps software builders trace exactly how the tool was made and keeps the testing phase distinct from the training phase.

This guide is useful for software builders who want to train their own sorting tools and keep track of their work. The author estimates the main training steps take about a day and a half on a powerful computer, but independent reviewers did not test this claim or the live software.

Key takeaways

  1. Break the training process into separate steps for teaching the language, practicing choices, and testing.
  2. Save the exact settings for each step so you can trace how the software was built.
  3. Test the finished software and record its scores before sharing it with other people.

The author estimates that the main training steps take about a day and a half on a powerful computer.

GitHub repository

Read the original guide Opens the author’s site in a new tab.

Keep this for later

Sign in to bookmark experiments, guides and videos, and keep notes only you can see.

Continue to sign in

We’ll bring you back to this listing.