Minimal and annotated implementations of key ideas from modern deep learning research.
A collection of 500+ real-world ML & LLM system design case studies from 100+ companies.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
An AI companion that enhances paper reading with interactive features and a quirky AI professor persona.
Awesome LLM pre-training resources, including data, frameworks, and methods.
A repository for practical notes on building applications using LLM.
Repository accompanying a paper on Red-Teaming for Large Language Models (LLMs).
Curated reading list for adversarial perspective and robustness in deep reinforcement learning.
A Python toolbox for adversarial robustness research, implemented in PyTorch.
TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
