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jaithree
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https://huggingface.co/jaithree

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Language, lingo, jargon, parlance...

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reacted to tegridydev's post with 🔥 1 day ago
What can you actually build with a cybersecurity dataset? I've been updating a few of mine on Hugging Face, and they now cover some pretty different parts of the security workflow. - open malsec has 1,104 defensive security scenarios across 20 subsets covering phishing, malware, scams, cloud security, API security, AI security and more - opensec triage has 50,000 contextual alert examples, plus compact model and edge training sets for testing whether models classify from the evidence around an event - infosec tool output has 1,004 examples across 19 tools for turning raw security output into evidence backed explanations, limitations and defensive next steps You could use them for: * phishing and scam explainers * alert triage tools * SOC assistants * scanner output explainers * analyst training * model comparisons * grounding and hallucination tests * small specialised security models * edge and local model experiments Or combine them into something like: scenario → evidence → triage → explanation → next action You also don't need to train anything straight away. Grab a few examples, run them through whatever model you already use and see where it gets confused :) Datasets: https://huggingface.co/datasets/tegridydev/open-malsec https://huggingface.co/datasets/tegridydev/opensec-triage https://huggingface.co/datasets/tegridydev/infosec-tool-output
reacted to OppaAI's post with 😎 3 days ago
Got side-tracked this week building an app for Learning and Practicing Japanese. It's not too fancy and there will some flaws here and there. But since I'm just using it to learn and practice Japanese myself, I think I will just finalize it now and move on back to review Phase 1 of the AI Agent itself. Did not use much of the LLM to gen the vocab. Hallucination happens sometimes causing gibberish and mistakes in the phrases. Thanks evanclan/OpenJLPT (https://github.com/evanclan/OpenJLPT) for providing the datasets for N5->N1 vocabs and grammar datasets. My LLM server is mainly doing conversation practice, spawning extra vocabs, and for ASR/TTS voice input/output. 🔗Front-End app: https://github.com/OppaAI/Aiko-Lingo 🔗Back-End server: https://github.com/OppaAI/Aiko-chan
liked a model 3 days ago
GODELEV/Rose-1.5-Medium
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