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[EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
A generative speech model for daily dialogue.
A system for quickly generating training data with weak supervision
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
Must-read papers on prompt-based tuning for pre-trained language models.
TextAttack ? is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
NLP made easy
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
This repo includes Claude prompt curation to use Claude better.