Alternatives
Products that do what K-DermZip does
AI-optimized dermatology clinic directory for South Korea
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Actually, it is yet another tool to learn a language through immersion (classic set of features, watch on youtube/netflix, read a website or book). It has a popup dictionary so you can click on a word and it will show the definition. Nothing new in that regard, except that it has been made with only Korean in mind and does not plan to extends to other languages. I was learning and still am learning Korean (now using my own tool to learn!). I initially made the tool for myself because none of the tools out there could correctly figure out what a word was in the text. And that's where the…
2023 · kimchi-reader.app
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Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com
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Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025
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AI-powered SEO for dermatology, aesthetic clinics & med spas
Aug 2026 · autviz.com
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Independent from-scratch implementation of the Kimi K3 architecture (arXiv:2607.24653v1): KDA, NoPE, latent-space MoE, and the systems co-designs. Table 1 reproduced to 0.09%. - TimRots/kimi3
Aug 2026 · github.com
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This prototype makes use of Open AI’s davinci model to identify and subsequently redact potential protected health information (PHI) or personal identifying information (PII) within the provided input. The output will be a de-identified version of the original input, where both direct and indirect identifiers - like those mentioned above - have been redacted. This ensures that the resulting output is HIPAA compliant, and We encourage you to test and play around with this tool - no input or output data is stored or saved. Feedback is welcomed - let us know what you think either at…
2023 · deid.segmed.ai
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