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autoprompt

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

bigscience

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

copilot-docs

Documentation for GitHub Copilot

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

deepspeed-gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

domainspecific-pretrain-for-bert

gpt-neo-fine-tuning-example

Fine-Tune EleutherAI GPT-Neo And GPT-J-6B To Generate Netflix Movie Descriptions Using Hugginface And DeepSpeed

gptbot

GPT4 & LangChain Chatbot for large PDF docs

hungarian-gpt-3

this is the repo of our bilingual English-Hungarian GPT-3 model

hungarian-wikipedia-qa

This repository contains a multilingual transformer-based Q/A solution for Hungarian Wikipedia pages.

kismama-chatbot

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

memit

Mass-editing thousands of facts into a transformer memory (MEMIT)

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

minimal-gpt-neox-20b

mup

maximal update parametrization (µP)

neox

Simple Annotated implementation of GPT-NeoX in PyTorch

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

openprompt

An Open-Source Framework for Prompt-Learning.

prompt-engine

A library for helping developers craft prompts for Large Language Models

promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

promptsource

Toolkit for creating, sharing and using natural language prompts.

pubmedqa-bert

This repo contains a BERT-based engine for medical QA tasks using Pubmed abstracts.

sambanova_starter

SambaNova starter files, a.k.a., boilerplates.

soft-prompts

text-generation-testing-ui

Web app for demoing the EAI models

training_policies

Issues related to MLPerf™ training policies, including rules and suggested changes