# Source: https://docs.galileo.ai/galileo/galileo-nlp-studio/train-high-quality-supervised-nlp-models.md

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.galileo.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Training High-Quality Supervised NLP Models | Galileo

> Galileo NLP Studio supports Natural Language Processing Tasks across the life-cycle of your model development.

Using Galileo for NLP you can improve your NLP models by improving the quality of your training data.

During Training and Pre-Training, Galileo for NLP helps you to identify and fix data and label errors quickly. Through Insights such as [**Mislabeled Samples**](/galileo/gen-ai-studio-products/galileo-ai-research/likely-mislabeled), [**Class Overlap**](/galileo/gen-ai-studio-products/galileo-ai-research/class-boundary-detection), [**Data Error Potential**](/galileo/gen-ai-studio-products/galileo-ai-research/galileo-data-error-potential-dep) and others, you can see what's wrong with your data in matter of seconds, instead of hours.

Once deployed, Galileo for NLP helps you monitor your model in production. Through its [**drift**](/galileo/gen-ai-studio-products/galileo-ai-research/data-drift-detection) detection features you can measure and improve your training dataset to continuously improve your models in production.

<Frame caption="The Galileo Console for a Named Entity Recognition run">
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</Frame>

The Galileo Console for a Named Entity Recognition run

To get started using Galileo, select your NLP task:

* [Text Classification (TC)](/galileo/galileo-nlp-studio/text-classification)

* [Multi Label Classification (MLTC)](/galileo/galileo-nlp-studio/multi-label-text-classification)

* [Named Entity Recognition (NER)](/galileo/galileo-nlp-studio/named-entity-recognition)

* [Natural Language Inference (NLI)](/galileo/galileo-nlp-studio/natural-language-inference)