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Transformers have revolutionized the field of deep learning-and this hands-on guide puts their power directly into your hands. Whether you're an AI enthusiast, machine learning engineer, or data scientist, this book takes you deep into the architecture and application of game-changing models like BERT, GPT, T5, and Vision Transformers (ViT).
Learn how to build production-ready NLP and multimodal solutions using Hugging Face Transformers and PyTorch. Understand self-attention, fine-tune pre-trained models, and deploy transformer-based systems for tasks such as text generation, sentiment analysis, translation, summarization, question answering, and even image classification.
Inside you'll explore:
The inner workings of Transformer architecture and attention mechanisms
Practical tutorials on BERT, GPT, and encoder-decoder models
End-to-end projects including chatbots, recommender systems, and code generation
Fine-tuning, prompt engineering, and low-resource adaptation techniques
Real-world deployment strategies using ONNX, TorchServe, and FastAPI
Whether you're building your own GPT-like chatbot or optimizing BERT for enterprise-scale search, this book provides the knowledge, tools, and best practices to succeed in the next generation of AI development.
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Английски език
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