๐Ÿ“Š Monitoring#

These tutorials show you how Argilla can help you to monitor your model predictions.

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Monitoring Inference Predictions FastAPI

MLOps Steps: Deploying, Monitoring
NLP Tasks: TextClassification, TokenClassification (NER)
Libraries: spaCy, FastAPI, transformers

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๐Ÿ’ก Building and testing a zero-shot sentiment classifier with GPT-3 and Argilla

MLOps Steps: Labelling
NLP Tasks: TextClassification
Libraries: OpenAI
Techniques: Few-shot, Explainability

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๐Ÿง Find label errors with cleanlab

MLOps Steps: Training, Monitoring
NLP Tasks: TextClassification
Libraries: cleanlab
Techniques: explainability

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๐Ÿ•ต๏ธโ€โ™€๏ธ Analyzing predictions with model explainability methods

MLOps Steps: Monitoring
NLP Tasks: TextClassification
Libraries: shap, transformers-interpret
Techniques: Explainability

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๐Ÿงผ Clean labels using your model loss

MLOps Steps: Monitoring
NLP Tasks: TextClassification
Libraries: Argilla, transformers
Techniques: Explainability