Mastering Large Language Models

Mastering Large Language Models

eBook Details:

  • Paperback: 380 pages
  • Publisher: WOW! eBook (March 13, 2024)
  • Language: English
  • ISBN-10: 9355519656
  • ISBN-13: 978-9355519658

eBook Description:

Mastering Large Language Models: Advanced techniques, applications, cutting-edge methods, and top LLMs. Do not just talk AI, build it: Your guide to LLM application development.

Transform your business landscape with the formidable prowess of large language models (LLMs). The Mastering Large Language Models book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications.

  • Explore NLP basics and LLM fundamentals, including essentials, challenges, and model types.
  • Learn data handling and pre-processing techniques for efficient data management.
  • Understand neural networks overview, including NN basics, RNNs, CNNs, and transformers.
  • Strategies and examples for harnessing LLMs.

This book explores NLP fundamentals like applications, evolution, components and language models. It teaches data pre-processing, neural networks, and specific architectures like RNNs, CNNs, and transformers. It tackles training challenges, advanced techniques such as GANs, meta-learning, and introduces top LLM models like GPT-3 and BERT. It also covers prompt engineering. Finally, it showcases LLM applications and emphasizes responsible development and deployment.

  • Grasp fundamentals of natural language processing (NLP) applications.
  • Explore advanced architectures like transformers and their applications.
  • Master techniques for training large language models effectively.
  • Implement advanced strategies, such as meta-learning and self-supervised learning.
  • Learn practical steps to build custom language model applications.

With this Mastering Large Language Models book as your compass, you will navigate the ever-evolving landscape of LLM technology, staying ahead of the curve with the latest advancements and industry best practices.

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