chrisliu298

awesome-llm-unlearning. A resource repository for machine unlearning in large language models

awesome-representation-engineering. A resource repository for representation engineering in large language models

llm-unlearn-eco. [NeurIPS 2024] Large Language Model Unlearning via Embedding-Corrupted Prompts

gpt2-arxiv. Fine-tuning GPT-2 to generate research paper abstracts

awesome-sparse-autoencoders. A resource repository of sparse autoencoders for large language models

tapt. Data augmentation by generating new samples

resnet-tinyimagenet. I trained ResNet models using the Tiny ImageNet dataset.

roberta-imdb. IMDb sentiment analysis with RoBERTa

nanoGCG. A fast + lightweight implementation of the GCG algorithm in PyTorch

conda-config. Shell

minimal-lm-finetune. A minimal example of fine-tuning autoregressive language models with multiple GPUs and DeepSpeed

min_double_descent. A minimal example of double descent