# 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.


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