| 1803247339.epub | 16.5 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
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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Introduction to Transformers for NLP - With the Hugging Face Library and Models to Solve Problems Posted by
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7.6 MB | freecoursewb | 3 years | 1 | 1 |
| 4.36 MB | andryold1 | 3 years | 2 | 0 | |
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Transformers for Natural Language Processing by Denis Rothman (True AZW) Posted by
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3.1 MB | freecoursewb | 3 years | 2 | 3 |
| 10.1 MB | freecoursewb | 4 years | 5 | 1 | |
| 17.37 MB | andryold1 | 4 years | 2 | 0 |
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