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cihatyldz
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AI & ML interests

Senior Data Scientist | MSc

Recent Activity

posted an update about 11 hours ago
Mizan, a RAG-based Turkish disinformation fact-checker, is now live on Spaces. It is built on the Directorate of Communications (İletişim Başkanlığı) DMM dataset of 2,810 officially verified disinformation claims, released openly under CC-BY-4.0. Users enter a suspicious claim and the system retrieves the most semantically similar bulletin records, combining Turkish Sentence-BERT embeddings with a FAISS index for millisecond-level search and Qwen2.5-7B for grounded assessment. The output is a three-part verdict: a similarity-scored match indicator, the matched bulletins with their official corrections, and an LLM explanation constrained to the retrieved evidence. 📊 Data source: https://huggingface.co/datasets/iletisim/dezenformasyon-bultenleri 🤗 Demo: https://huggingface.co/spaces/cihatyldz/mizan-fact-checker
posted an update 2 days ago
Çarşı, a dual-model Turkish e-commerce NER demo, is now live on Spaces. It runs Named Entity Recognition side by side with a fine-tuned Turkish BERT and Qwen2.5-7B zero-shot extraction, making the "specialized NER vs. zero-shot LLM" trade-off visible in real time. The system extracts 7 entity types from Turkish product text — PRODUCT, BRAND, PRICE, COLOR, SIZE, MATERIAL and GENDER — with color-coded highlighting over the original sentence. The fine-tuned BERT returns entities in ~10-50ms on CPU, while the LLM handles open-ended extraction through the Inference API. Trained on 8,000 synthetic Turkish e-commerce sentences with BIO-tagged token classification and no manual annotation. 🧠 BERT model: https://huggingface.co/cihatyldz/carsi-bert-turkish-ecommerce-ner 📊 Dataset: https://huggingface.co/datasets/cihatyldz/carsi-turkish-ecommerce-ner 🤗 Demo: https://huggingface.co/spaces/cihatyldz/carsi-ecommerce-ner
updated a Space about 1 month ago
cihatyldz/lojistik-kargo-asistani
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