We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

LLaMA: Open and Efficient Foundation Language Models

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

React app implementing OpenAI and Google APIs to re-create behavior of the toolformer paper.

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

Tutorials and examples for Google AudioSet

BERT-related papers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

Must-read papers on graph neural networks (GNN)

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

✨Fast Coreference Resolution in spaCy with Neural Networks

A PyTorch implementation of the Transformer model in "Attention is All You Need".

TensorFlow Models for the Stanford Question Answering Dataset

A PyTorch Implementation of End-to-End Models for Speech-to-Text

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

Reading Comprehension Experiments repository.