Efficient full parameter tuning library for reinforcement learning applications in LLMs.
Open-source framework for training large language models with a focus on readability and support for various training methods.
Minimal and annotated implementations of key ideas from modern deep learning research.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Curated reading list for adversarial perspective and robustness in deep reinforcement learning.
