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reacted to ProCreations's post with 🔥 1 day ago
new day, new models! Introducing the Auto series, a series of classifiers for determining if agentic tool calls are safe to run or not to prevent any harmful actions from happening. They have high performance compared to other LLMs commonly used for this task with incredible speed and small memory footprints. https://huggingface.co/ProCreations/auto-1b (recommended generally, much higher accuracy) https://huggingface.co/ProCreations/auto-0.4b (faster but worse) Comes with datasets as well (open source ftw)! A GitHub repo with pi extensions etc will come soon with this model.
repliedto wop's post 2 days ago
🧪 SlopFinder is here!! We're building a dataset to study what humans actually consider AI slop. SlopFinder shows you a random piece of AI-generated text and gives you one simple control: **how slop is it?** No categories. No complicated forms. Just vote and move on. Every vote helps build the dataset. 🧩 How does it work? Samples are pulled from existing datasets, shown anonymously, and collected into our annotation pool. After enough votes, they're exported to Hugging Face for everyone to use. This is an early MVP, so the dataset is small and the system is still evolving. Vote here: https://bench-labs.web.app/slopfinder.html (refresh page if you want to skip) Dataset: https://huggingface.co/datasets/bench-labs/slop-classification @benchlabs
reacted to wop's post with 🔥 2 days ago
🧪 SlopFinder is here!! We're building a dataset to study what humans actually consider AI slop. SlopFinder shows you a random piece of AI-generated text and gives you one simple control: **how slop is it?** No categories. No complicated forms. Just vote and move on. Every vote helps build the dataset. 🧩 How does it work? Samples are pulled from existing datasets, shown anonymously, and collected into our annotation pool. After enough votes, they're exported to Hugging Face for everyone to use. This is an early MVP, so the dataset is small and the system is still evolving. Vote here: https://bench-labs.web.app/slopfinder.html (refresh page if you want to skip) Dataset: https://huggingface.co/datasets/bench-labs/slop-classification @benchlabs
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