Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks
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2501.15891
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Published
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14
Manel ALOUI
Manel-Hik
AI & ML interests
NLP recommender system, machine learning
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💬 Chat as a way to query SQL! The Airtrain AI team is happy to share a new Hugging Face Space that lets you interact with Hugging Face Hub datasets using a natural language chatbot. 🤗
Start Exploring 👉 airtrain-ai/hf-dataset-chat-to-sql
This Space is forked from davidberenstein1957/text-to-sql-hub-datasets by @davidberenstein1957 and features chat capability with improved table naming. The tool works with Hugging Face’s recently released in-browser DuckDB-based SQL query engine for datasets.
Start Exploring 👉 airtrain-ai/hf-dataset-chat-to-sql
This Space is forked from davidberenstein1957/text-to-sql-hub-datasets by @davidberenstein1957 and features chat capability with improved table naming. The tool works with Hugging Face’s recently released in-browser DuckDB-based SQL query engine for datasets.
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📚 Introducing the 101 Billion Arabic Words Dataset
🌐 Exciting Milestone in Arabic Language Technology! hashtag#NLP hashtag#ArabicLLM hashtag#LanguageModels
🚀 Why It Matters:
1. 🌟 Large Language Models (LLMs) have brought transformative changes, primarily in English. It's time for Arabic to shine!
2. 🎯 This project addresses the critical challenge of bias in Arabic LLMs due to reliance on translated datasets.
🔍 Approach:
1. 💪 Undertook a massive data mining initiative focusing exclusively on Arabic from Common Crawl WET files.
2. 🧹 Employed state-of-the-art cleaning and deduplication processes to maintain data quality and uniqueness.
📈 Impact:
1. 🏆 Created the largest Arabic dataset to date with 101 billion words.
2. 📝 Enables the development of Arabic LLMs that are linguistically and culturally accurate.
3. 🌍 Sets a global benchmark for future Arabic language research.
🔗 Paper: https://lnkd.in/dGAiaygn
🔗 Dataset: https://lnkd.in/dGTMe5QV
- 🔄 Share your thoughts and let's drive the future of Arabic NLP together!
hashtag#DataScience hashtag#MachineLearning hashtag#ArtificialIntelligence hashtag#Innovation hashtag#ArabicData
🌐 Exciting Milestone in Arabic Language Technology! hashtag#NLP hashtag#ArabicLLM hashtag#LanguageModels
🚀 Why It Matters:
1. 🌟 Large Language Models (LLMs) have brought transformative changes, primarily in English. It's time for Arabic to shine!
2. 🎯 This project addresses the critical challenge of bias in Arabic LLMs due to reliance on translated datasets.
🔍 Approach:
1. 💪 Undertook a massive data mining initiative focusing exclusively on Arabic from Common Crawl WET files.
2. 🧹 Employed state-of-the-art cleaning and deduplication processes to maintain data quality and uniqueness.
📈 Impact:
1. 🏆 Created the largest Arabic dataset to date with 101 billion words.
2. 📝 Enables the development of Arabic LLMs that are linguistically and culturally accurate.
3. 🌍 Sets a global benchmark for future Arabic language research.
🔗 Paper: https://lnkd.in/dGAiaygn
🔗 Dataset: https://lnkd.in/dGTMe5QV
- 🔄 Share your thoughts and let's drive the future of Arabic NLP together!
hashtag#DataScience hashtag#MachineLearning hashtag#ArtificialIntelligence hashtag#Innovation hashtag#ArabicData
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#2 opened 6 months ago
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Error while generating the datasets splits after downloading
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#1 opened 7 months ago
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I'm officially considered #gpu_poor 💀
But I'm #data_rich 😎
But I'm #data_rich 😎
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