#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
kitty
The fast, feature-rich, GPU based #terminal emulator
Uses GPU and SIMD vector CPU instructions for best in class
Uses threaded rendering for absolutely minimal latency
Performance tradeoffs can be tuned
Capable Scriptable Composable Cross-platform Innovative
To get started see Quickstart.
https://sw.kovidgoyal.net/kitty/
With software, such as "Kitty", it is possible to read documents, images and other graphical formats with these software:
https://github.com/dsanson/termpdf.py
http://www.kraxel.org/blog/linux/fbida/
https://github.com/itsjunetime/tdf
It means, that we no longer need GTK+ (which dropped support for X11), Qt and other graphical toolkits in order to have a full operational computer.
qrcp, transfer files over wifi from your computer to your mobile device by scanning a QR code without leaving the terminal.
#tools#terminal
@thedevs
https://kutt.it/fycGgm
eDEX-UI, a science fiction terminal emulator designed for large touchscreens that runs on all major OSs.
#tools#terminal
@thedevs
https://kutt.it/IaR1au