Transformers for Natural Language Processing by Denis Rothman

  • CategoryOther
  • TypeE-Books
  • LanguageEnglish
  • Total size16.5 MB
  • Uploaded Byfreecoursewb
  • Downloads41
  • Last checkedMar. 31st '22
  • Date uploadedMar. 29th '22
  • Seeders 8
  • Leechers3

Infohash : 304592B1B720B7C8E02E01231FC1D8ED26811223

Transformers for Natural Language Processing by Denis Rothman



https://DevCourseWeb.com

English | ISBN: 1803247339 | 564 pages | EPUB | 25 Mar. 2022 | 16,4 Mb

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP

Key Features
Implement models, such as BERT, Reformer, and T5, that outperform classical language models
Compare NLP applications using GPT-3, GPT-2, and other transformers
Analyze advanced use cases, including polysemy, cross-lingual learning, and computer vision
Book Description
Transformers are a game-changer for natural language understanding (NLU) and have become one of the pillars of artificial intelligence.

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[ DevCourseWeb.com ] Transformers for Natural Language Processing by Denis Rothman
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