Argilla 2.4 發布：在 Hugging Face Hub 上免程式碼輕鬆構建微調與評估數據集
Original: Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub — No Code Required
The open-source data curation and annotation platform Argilla has officially released version 2.4, with the core of this update being deep…
開源數據標註平台 Argilla 發布 2.4 版本，主打與 Hugging Face Hub 的深度無程式碼整合。用戶現在可以直接在 Hugging Face Spaces 上部署 Argilla，並透過直觀的 UI 介面進行數據導入、協作標註與導出。這大幅降低了為大語言模型（LLM）準備指令微調（SFT）和偏好對齊（DPO）數據集的門檻，讓非技術背景的領域專家也能輕鬆參與數據策劃。
The open-source data curation and annotation platform Argilla has officially released version 2.4, with the core of this update being deep integration with Hugging Face Hub, enabling a fully "no-code" dataset construction workflow. This update greatly simplifies collaboration between machine learning engineers, data annotators, and domain experts, allowing anyone to easily prepare high-quality fine-tuning and evaluation data for large language models (LLMs).
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