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This book is essential reading for anyone interested in leveraging these powerful tools to revolutionize natural language processing.
Learn how to design and train Transformer models from scratch, including the basics of sequence-to-sequence learning and attention mechanisms.
Understand the importance of pre-training and fine-tuning, and how to use transfer learning to improve model performance. Discover the secrets of prompt engineering, including how to craft effective input prompts that elicit desired responses from language models. Explore the intricacies of prompt optimization, and learn how to evaluate the quality of generated text.
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