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Nicolay Rusnachenko

nicolay-r
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https://nicolayr.com/

AI & ML interests

NLP for Healthcare βš•οΈ @BU_Research・PhD in NLP / IR ・Textual Information Retrieval

Recent Activity

reacted to merve's post with πŸ‘ about 12 hours ago
https://huggingface.co/deepseek-ai/DeepSeek-OCR is out! πŸ”₯ my take ‡️ > pretty insane it can parse and re-render charts in HTML > it uses CLIP and SAM features concatenated, so better grounding > very efficient per vision tokens/performance ratio > covers 100 languages
posted an update about 23 hours ago
πŸ“’ For those who interested in applying LLM for inferring iterators of data with CoT / prompts, this update might be relevant. Deligted to share the new release of the bulk-chain. This is a framework that contributes to efficient AI querying in synthetic data generation scenarios. 🌟 bulk-chain: https://github.com/nicolay-r/bulk-chain πŸ”‘ This features the no-string framework for quierrying LLMs in various modes: sync, async and with optional support for output streaming. πŸ“¦οΈ In the latest 1.2.0 release, the updates on outlining API parameters for inference mode. 🌟 Integration into web: https://github.com/nicolay-r/bulk-chain-web-integration
reacted to prithivMLmods's post with πŸ‘ 6 days ago
Introducing the D.Markdown Experimental Models, Proxima and Epsilon OCR models, built on top of Qwen3-VL and Qwen2.5-VL respectively. Proxima is optimized for Markdown generation and is capable of embedding inline programming code snippets and generating rich nodes such as HTML, XML, JSON, and YAML. Epsilon is optimized for reconstructing complex layouts including tables, forms, and mathematical content. 🌌✨ ● proxima-ocr-d.markdown-post3.0.l: https://huggingface.co/prithivMLmods/proxima-ocr-d.markdown-post3.0.l ● epsilon-ocr-d.markdown-post3.0.m: https://huggingface.co/prithivMLmods/epsilon-ocr-d.markdown-post3.0.m ● proxima-ocr-d.markdown-post3.0.l-gguf: https://huggingface.co/prithivMLmods/proxima-ocr-d.markdown-post3.0.l-GGUF ● epsilon-ocr-d.markdown-post3.0.m-gguf: https://huggingface.co/prithivMLmods/epsilon-ocr-d.markdown-post3.0.m-GGUF ● Collection: https://huggingface.co/collections/prithivMLmods/dynamic-markdowns ● Multimodal Apps: https://huggingface.co/collections/prithivMLmods/multimodal-implementations πŸ‘‰ These models are stage progression models, and currently they may contain artifacts. To know more about it, visit the app page or the respective model page!
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