Transformers for Natural Language Processing and Computer Vision - Third Edition: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3

Denis Rothman Transformers for NLP and Computer Vision - 3rd Edition Reviews Summary

Ratings Breakdown

Rated 4.2 by 28 people

Pros from Reviews

  • Comprehensive guide for AI enthusiasts
  • Hands-on projects with cutting-edge technologies
  • Practical examples for real-world scenarios
  • Addresses ethical considerations in AI
  • Expertise in breaking down complex concepts
  • Empowers readers with advanced techniques
  • Insights into transformer models in NLP and CV
  • Easy to follow and understand

Cons from Reviews

  • Poor explanations and lack of coherence

Notable Features

RAG Implementation
Multimodal Transformers
Generative AI Focus
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