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Source channel @githubtrending · Post #15340 · Dec 17

#python#gym#gym_environment#reinforcement_learning#reinforcement_learning_agent#reinforcement_learning_environments#rl_environment#rl_training NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior. https://github.com/NVIDIA-NeMo/Gym

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Libreware

@libreware · Post #1144 · 05/26/2023, 01:59 PM

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Lock and wipe on emergency. You can use PanicKit, tile,shortcut or send a message with a secret code. On trigger, using Device Administration API, it locks a device and optionally runs wipe (factory reset). Or it can send a broadcast message instead of the wipe. Also you can: fire when a device was not unlocked for X time fire when a USB data connection is made while a device is locked fire when a fake messenger app is launched fire when a duress password is entered (companion app: Duress) The app works in Work Profile too, but with limitations. Use it to install risky apps and Wasted in it. Then you can wipe this profile data with one click without wiping the whole device. For base security take a look at: Sentry.Only encrypted device may guarantee that the data will not be recoverable. Be aware that the app does not work in safe mode. Wasted (Lock a device and delete its data in an emergency) https://f-droid.org/packages/me.lucky.wasted/ https://github.com/x13a/Wasted #security#cellebrite#UFED

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