AI for Quality Management

Quality management is one of the most important areas of the production workflow; LSPs pride themselves on delivering excellent quality to their clients, and clients always rank quality as one of their top priorities (along with price and data security). The development of sophisticated large language models has meant that the area of quality can be somewhat automated, but to what point? In this session, we will explore the different concepts around quality and AI, and how this technology can be leveraged to the user’s advantage.

Concepts.

Let's talk about quality - Introduction

The concept of quality in AT

Reaching singularity with AI: are we there yet?

Quality evaluation versus Quality estimation, differences

Quality evaluation for different types of AI content - automatic scores

Quality Estimation - definition and applications

Quality Estimation - providers

Quality evaluation of translated content using LLMs: is it safe?

Associated
Exercises

Today’s exercise will consist of creating a quality assessment prompt, performing a quality assessment using an LLM, and analysing the effectiveness of the method.

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