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Title: GitHub - DistributedDeepLearning/Megatron-LM: Ongoing research training transformer models at scale · GitHub

Open Graph Title: GitHub - DistributedDeepLearning/Megatron-LM: Ongoing research training transformer models at scale

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Description: Ongoing research training transformer models at scale - DistributedDeepLearning/Megatron-LM

Open Graph Description: Ongoing research training transformer models at scale - DistributedDeepLearning/Megatron-LM

X Description: Ongoing research training transformer models at scale - DistributedDeepLearning/Megatron-LM

Opengraph URL: https://github.com/DistributedDeepLearning/Megatron-LM

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1https://arxiv.org/pdf/1909.08053.pdf
2https://arxiv.org/pdf/2104.04473.pdf
3https://arxiv.org/pdf/2205.05198
tensorhttps://arxiv.org/pdf/1909.08053.pdf
sequencehttps://arxiv.org/pdf/2205.05198
pipelinehttps://arxiv.org/pdf/2104.04473.pdf
GPThttps://arxiv.org/abs/2005.14165
BERThttps://arxiv.org/pdf/1810.04805.pdf
T5https://arxiv.org/abs/1910.10683
BERT and GPT Studies Using Megatronhttps://arxiv.org/pdf/1909.08053.pdf
BioMegatron: Larger Biomedical Domain Language Modelhttps://www.aclweb.org/anthology/2020.emnlp-main.379.pdf
End-to-End Training of Neural Retrievers for Open-Domain Question Answeringhttps://arxiv.org/abs/2101.00408
Large Scale Multi-Actor Generative Dialog Modelinghttps://www.aclweb.org/anthology/2020.acl-main.8.pdf
Local Knowledge Powered Conversational Agentshttps://arxiv.org/abs/2010.10150
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Modelshttps://www.aclweb.org/anthology/2020.emnlp-main.226.pdf
RACE Reading Comprehension Dataset Leaderboardhttp://www.qizhexie.com/data/RACE_leaderboard.html
Training Question Answering Models From Synthetic Datahttps://www.aclweb.org/anthology/2020.emnlp-main.468.pdf
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biaseshttps://arxiv.org/abs/2112.07868
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Modelshttps://arxiv.org/abs/2202.04173
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Modelhttps://arxiv.org/abs/2201.11990
Multi-Stage Prompting for Knowledgeable Dialogue Generationhttps://arxiv.org/abs/2203.08745
NeMo Megatronhttps://developer.nvidia.com/nvidia-nemo#nemo-megatron
NVIDIA's Selene supercomputerhttps://www.top500.org/system/179842/
A100https://www.nvidia.com/en-us/data-center/a100/
https://github.com/DistributedDeepLearning/Megatron-LM/blob/main/images/Achieved_petaFLOPs.png
our paperhttps://arxiv.org/pdf/2205.05198
https://github.com/DistributedDeepLearning/Megatron-LM#contents
Contentshttps://github.com/DistributedDeepLearning/Megatron-LM#contents
Setuphttps://github.com/DistributedDeepLearning/Megatron-LM#setup
Downloading Checkpointshttps://github.com/DistributedDeepLearning/Megatron-LM#downloading-checkpoints
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GPT-3 Examplehttps://github.com/DistributedDeepLearning/Megatron-LM#gpt-3-example
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MNLI Evaluationhttps://github.com/DistributedDeepLearning/Megatron-LM#mnli-evaluation
Datasetshttps://github.com/DistributedDeepLearning/Megatron-LM#datasets
Collecting Wikipedia Training Datahttps://github.com/DistributedDeepLearning/Megatron-LM#collecting-wikipedia-training-data
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ncclhttps://developer.nvidia.com/nccl
our paperhttps://arxiv.org/pdf/2104.04473.pdf
https://github.com/DistributedDeepLearning/Megatron-LM#activation-checkpointing-and-recomputation
our paperhttps://arxiv.org/pdf/2205.05198
https://github.com/DistributedDeepLearning/Megatron-LM#gpt-3-example
GPT-3https://arxiv.org/abs/2005.14165
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https://github.com/DistributedDeepLearning/Megatron-LM#gpt-evaluation
https://github.com/DistributedDeepLearning/Megatron-LM#wikitext-perplexity-evaluation
WikiText-103 test datasethttps://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-103-v1.zip
https://github.com/DistributedDeepLearning/Megatron-LM#lambada-cloze-accuracy
LAMBADA datasethttps://github.com/cybertronai/bflm/blob/master/lambada_test.jsonl
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RACE datasethttp://www.cs.cmu.edu/~glai1/data/race/
https://github.com/DistributedDeepLearning/Megatron-LM#mnli-evaluation
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Quora Question Pairshttps://www.kaggle.com/quora/question-pairs-dataset
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RACE Evaluationhttps://github.com/DistributedDeepLearning/Megatron-LM#race-evaluation
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https://github.com/DistributedDeepLearning/Megatron-LM#collecting-wikipedia-training-data
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URLs of crawlers that visited me.