6.4 Assessing data and model maturity

Before you start creating or using a language technology solution, it's important to check how good the NLP components you're using are. This includes the pre-trained models or the data you use to train them. This initial check helps ensure that your solution is strong and works well in real situations. Whether you're working on machine translation (MT), automatic speech recognition (ASR), or using large language models (LLMs) for natural language generation, it's crucial to evaluate how good your data and models are before getting started.