Transformers NLP: Build, Fine-Tune, Apply LLMs

Nexon, Hawke

ISBN 13: 9798294541170

Published by Independently published, 2025

About this Item

Seller Inventory # 50974781-n

Bibliographic Details

• Title: Transformers NLP: Build, Fine-Tune, Apply LLMs
• Publisher: Independently published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798294541170
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Unlock the next frontier of AI: Master Transformers and Large Language Models to build, fine-tune, and deploy cutting-edge NLP solutions.

Are you ready to move beyond foundational concepts and dive deep into the practical application of the most transformative technologies in Natural Language Processing? "Transformers & Large Language Models: A Comprehensive Guide" by Jude Max is your essential blueprint for mastering the architectures, techniques, and real-world implementation of LLMs.

Inside this definitive guide, you will learn to:

• Deconstruct the Transformer Core: Gain a profound understanding of the foundational self-attention mechanism, Multi-Head Attention, and Positional Encoding that power all modern NLP models.

• Build & Fine-Tune Encoder-Only Models: Practical mastery of BERT, RoBERTa, and DistilBERT for high-accuracy Text Classification and precise Named Entity Recognition (NER).

• Generate Dynamic Text with Decoder-Only Models: Explore the intricacies of GPT architectures, causal masking, and advanced Text Generation strategies for creative and coherent outputs.

• Tackle Complex Seq2Seq Tasks: Apply T5 and BART to excel in demanding applications like Summarization and Machine Translation.

• Harness LLM Emergent Capabilities: Leverage Large Language Models for sophisticated zero-shot, few-shot, and Chain-of-Thought reasoning.

• Implement Robust Retrieval-Augmented Generation (RAG): Ground LLM responses in factual, up-to-date external knowledge, overcoming hallucinations and enhancing trustworthiness.

• Optimize & Deploy for Production: Make your Transformers efficient with quantization and distillation, and learn robust strategies for production deployment on cloud platforms (AWS, Azure, GCP).

• Develop Responsible AI Systems: Navigate the crucial ethical landscape, understand bias detection and mitigation, ensure fairness, and explore interpretability in your LLM applications.

This book is meticulously crafted for developers, data scientists, and AI enthusiasts eager to apply cutting-edge Deep Learning and Generative AI techniques to real-world challenges. Transform your theoretical knowledge into tangible, deployable skills with hands-on projects and expert insights.