使用 AutoNLP 與 Prodigy 進行主動學習 (Active Learning)
Original: Active Learning with AutoNLP and Prodigy
This blog post introduces the integration of Hugging Face's AutoNLP (now evolved into AutoTrain) with Prodigy, the popular data annotation…
Hugging Face 與 Explosion 合作，展示如何將 Prodigy 資料標記工具與 AutoNLP（現為 AutoTrain）整合。透過主動學習（Active Learning）機制，系統能自動篩選出模型最不確定的樣本供人工標記，大幅減少標記成本。此工作流讓開發者無需編寫複雜代碼，即可快速迭代並優化 NLP 模型。
This blog post introduces the integration of Hugging Face's AutoNLP (now evolved into AutoTrain) with Prodigy, the popular data annotation tool developed by Explosion, aiming to solve one of the most time-consuming steps in machine learning: data labeling.
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