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GPT

benchmarks

Benchmarks in Natural Language Processing (NLP)

1 minute read

Published:

Benchmarks helps to assess the performance of pretrained language models in various tasks. A benchmark usually consists of one or more datasets in each task. Here is the list of benchmarks in NLP.

biomedical-nlp

Transformer-based Biomedical Pretrained Language Models List

2 minute read

Published:

This information is from the survey paper “AMMU - A Survey of Transformer-based Biomedical Pretrained Language Models”. This survey written by Kalyan et al. introduced a new taxonomy for transformer-based biomedical pretrained language models (T-BPLMs). Here is the list of transformer-based BPLMs with links for the paper and the pretrained model. For detailed information, please refer the survey paper. For the list of transformer-based pretrained language models in all the domains, please refer models list.

clinical-nlp

Transformer-based Biomedical Pretrained Language Models List

2 minute read

Published:

This information is from the survey paper “AMMU - A Survey of Transformer-based Biomedical Pretrained Language Models”. This survey written by Kalyan et al. introduced a new taxonomy for transformer-based biomedical pretrained language models (T-BPLMs). Here is the list of transformer-based BPLMs with links for the paper and the pretrained model. For detailed information, please refer the survey paper. For the list of transformer-based pretrained language models in all the domains, please refer models list.

easynmt

Neural Machine Translation using EasyNMT Library

7 minute read

Published:

In this blogpost we are going to see

  • brief overview of EasyNMT library
  • advantages of using EasyNMT library for MT over Hugging Face Pipeline
  • sentence translation and documentation translation using EasyNMT library

general

generative

huggingface

Neural Machine Translation using EasyNMT Library

7 minute read

Published:

In this blogpost we are going to see

  • brief overview of EasyNMT library
  • advantages of using EasyNMT library for MT over Hugging Face Pipeline
  • sentence translation and documentation translation using EasyNMT library

machine translation

Neural Machine Translation using EasyNMT Library

7 minute read

Published:

In this blogpost we are going to see

  • brief overview of EasyNMT library
  • advantages of using EasyNMT library for MT over Hugging Face Pipeline
  • sentence translation and documentation translation using EasyNMT library

Pretrained Language Models for Machine Translation

7 minute read

Published:

In this blogpost, we are going to see

  • classification of pretrained models for machine translation
  • brief overview of SOTA models like OPUS-MT, mBART50, M2M100 and NLLB200

Overview and Evolution of Machine Translation

4 minute read

Published:

In this blogpost, we are going to see

  • brief overview of Machine Translation
  • evolution of machine translation from rule-based in 1950s to neural network-based in 2020s

monolingual

multilingual

nlp

Pretrained Language Models for Machine Translation

7 minute read

Published:

In this blogpost, we are going to see

  • classification of pretrained models for machine translation
  • brief overview of SOTA models like OPUS-MT, mBART50, M2M100 and NLLB200

Overview and Evolution of Machine Translation

4 minute read

Published:

In this blogpost, we are going to see

  • brief overview of Machine Translation
  • evolution of machine translation from rule-based in 1950s to neural network-based in 2020s

Benchmarks in Natural Language Processing (NLP)

1 minute read

Published:

Benchmarks helps to assess the performance of pretrained language models in various tasks. A benchmark usually consists of one or more datasets in each task. Here is the list of benchmarks in NLP.

pipeline

pretrained language models

Pretrained Language Models for Machine Translation

7 minute read

Published:

In this blogpost, we are going to see

  • classification of pretrained models for machine translation
  • brief overview of SOTA models like OPUS-MT, mBART50, M2M100 and NLLB200

Overview and Evolution of Machine Translation

4 minute read

Published:

In this blogpost, we are going to see

  • brief overview of Machine Translation
  • evolution of machine translation from rule-based in 1950s to neural network-based in 2020s

seq2seq

social media

survey

Transformer-based Biomedical Pretrained Language Models List

2 minute read

Published:

This information is from the survey paper “AMMU - A Survey of Transformer-based Biomedical Pretrained Language Models”. This survey written by Kalyan et al. introduced a new taxonomy for transformer-based biomedical pretrained language models (T-BPLMs). Here is the list of transformer-based BPLMs with links for the paper and the pretrained model. For detailed information, please refer the survey paper. For the list of transformer-based pretrained language models in all the domains, please refer models list.

transformers

Neural Machine Translation using EasyNMT Library

7 minute read

Published:

In this blogpost we are going to see

  • brief overview of EasyNMT library
  • advantages of using EasyNMT library for MT over Hugging Face Pipeline
  • sentence translation and documentation translation using EasyNMT library

Pretrained Language Models for Machine Translation

7 minute read

Published:

In this blogpost, we are going to see

  • classification of pretrained models for machine translation
  • brief overview of SOTA models like OPUS-MT, mBART50, M2M100 and NLLB200

Overview and Evolution of Machine Translation

4 minute read

Published:

In this blogpost, we are going to see

  • brief overview of Machine Translation
  • evolution of machine translation from rule-based in 1950s to neural network-based in 2020s