> For the complete documentation index, see [llms.txt](https://docs.datasaur.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datasaur.ai/assisted-labeling.md).

# Assisted Labeling

- [ML-Assisted Labeling](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling.md): ML-assisted labeling extension lets you use open-source models, LLMs, or your own models to generate labels automatically.
- [Amazon Comprehend](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/amazon-comprehend.md): Enable your integration with models from Amazon Comprehend.
- [Amazon SageMaker](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/amazon-sagemaker.md)
- [Azure ML](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/azure.md)
- [CoreNLP NER](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/corenlp-ner.md)
- [CoreNLP POS](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/corenlp-pos.md)
- [Custom API](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/ml-assisted-using-custom-api.md)
- [FewNERD](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/fewnerd.md)
- [Google Vertex AI](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/google-vertex-ai.md): Enable your integration with models from Google Vertex AI.
- [Hugging Face](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/ml-assisted-using-huggingface.md)
- [LLM Assisted Labeling](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/llm-assisted-labeling.md)
- [Prompt Examples](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/llm-assisted-labeling/prompt-examples.md): Prompts examples for row labeling and span labeling projects.
- [Amazon Bedrock](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/llm-assisted-labeling/amazon-bedrock.md): Connect Amazon Bedrock to LLM-assisted labeling.
- [Custom Provider](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/llm-assisted-labeling/custom-provider.md): LLM Assisted Labeling with custom provider.
- [LLM Labs (beta)](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/llm-labs-beta.md): Enable your integration with models from Datasaur LLM Labs
- [NLTK](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/nltk.md)
- [Sentiment Analysis](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/sentiment-analysis.md)
- [spaCy](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/spacy.md)
- [SparkNLP NER](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/sparknlp-ner.md)
- [SparkNLP POS](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/sparknlp-pos.md)
- [OpenAI (beta)](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/openai-beta.md)
- [Data Programming](https://docs.datasaur.ai/assisted-labeling/data-programming.md): Label data with rules and heuristics.
- [Example of Labeling Functions](https://docs.datasaur.ai/assisted-labeling/data-programming/example-of-labeling-functions.md): A collection of labeling functions for row labeling and span labeling.
- [Labeling Function Analysis](https://docs.datasaur.ai/assisted-labeling/data-programming/labeling-function-analysis.md): Allows users to view the results of their labeling functions, including coverage, overlaps, and conflicts, and to improve performance by training the label model
- [Inter-Annotator Agreement for Data Programming](https://docs.datasaur.ai/assisted-labeling/data-programming/inter-annotator-agreement-for-data-programming.md): Measure agreement between labeling functions to evaluate performance.
- [Predictive Labeling](https://docs.datasaur.ai/assisted-labeling/predictive-labeling.md): Predictive labeling helps improve prediction performance when preparing labeled data and reduces annotation time.
- [Real-time Assisted Labeling](https://docs.datasaur.ai/assisted-labeling/real-time-assisted-labeling.md): Real-time assisted labeling enables automatic labeling without requiring configuration or AI knowledge. This extension simplifies the workflow and improves labeling speed and accuracy.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.datasaur.ai/assisted-labeling.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.