Transformers for Natural Language Processing by Denis Rothman (True AZW)

Transformers for Natural Language Processing by Denis Rothman (True AZW)



https://DevCourseWeb.com

English | 2022 | ISBN: ‎ 1803247339 | 565 pages | True AZW | 3 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

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