BigData@bigdata_1 P.927

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BigData@bigdata_1 P.927

BIGDATA_1 Telegram 927

Hard Prompts Made Easy: Discrete Prompt Tuning for Language Models

From a given image, we first optimize a hard prompt using the PEZ algorithm and CLIP encoder.

Модель для преобразование изображений в текстовые подсказки для стабильной диффузии.

Автоматически генерирует текстовые подсказки как для преобразования текста в изображение, так и для преобразования текста в текст.

🖥 Github: https://github.com/YuxinWenRick/hard-prompts-made-easy

🖥 Colab: https://colab.research.google.com/drive/1VSFps4siwASXDwhK_o29dKA9COvTnG8A?usp=sharing

✅️ Paper: hhttps://arxiv.org/abs/2302.03668v1

⭐️ Dataset: https://paperswithcode.com/dataset/ag-news

👉 @bigdata_1

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1.21K viewsNov 27, 2024 at 13:01

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Create: 2024-11-27
Last Update: 2025-07-25 17:47:07

Hard Prompts Made Easy: Discrete Prompt Tuning for Language Models

From a given image, we first optimize a hard prompt using the PEZ algorithm and CLIP encoder.

Модель для преобразование изображений в текстовые подсказки для стабильной диффузии.

Автоматически генерирует текстовые подсказки как для преобразования текста в изображение, так и для преобразования текста в текст.

🖥 Github: https://github.com/YuxinWenRick/hard-prompts-made-easy

🖥 Colab: https://colab.research.google.com/drive/1VSFps4siwASXDwhK_o29dKA9COvTnG8A?usp=sharing

✅️ Paper: hhttps://arxiv.org/abs/2302.03668v1

⭐️ Dataset: https://paperswithcode.com/dataset/ag-news

👉 @bigdata_1

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