Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

Code and documentation to train Stanford's Alpaca models, and generate the data.

Open Academic Research on Improving LLaMA to SOTA LLM

Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"

the Pytorch implementation for our EMNLP 2021 paper "Learning Neural Templates for Recommender Dialogue System"

PyTorch implementation for ACL 2021 paper "Maria: A Visual Experience Powered Conversational Agent".

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training https://arxiv.org/pdf/2001.04063.pdf

UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond

The code for ``STYLEDGPT: Stylized Response Generation with Pre-trained LanguageModels'' (Findings of EMNLP2020))

Dance Revolution: Long Sequence Dance Generation with Music via Curriculum Learning

Tensorflow implementation for MRFN in Retrieval-based Chatbots

Code for EMNLP2019 paper "Low-Resource Response Generation with Template Prior"

Yahoo! news dataset of DeepCom (EMNLP2019)

Tensorflow implementation for IOI model