May 2024
Intermediate to advanced
251 pages
5h
English
Overview
Discover how to effectively utilize large language models with 'LLM Prompt Engineering for Developers'. This comprehensive guide takes you from the basics of NLP and prompt engineering to advanced techniques like zero-shot and few-shot learning. By acquiring skills in leveraging resources such as AutoCoT and transfer learning, you will be well-prepared to apply cutting-edge AI methods to real-world challenges.
What this Book will help me do
- Master the principles of natural language processing and their application in LLM contexts.
- Develop environments and tools for large language models effectively.
- Gain hands-on experience in implementing few-shot and zero-shot learning methods.
- Learn advanced prompt engineering techniques such as AutoCoT and self-consistency.
- Understand and apply principles of transfer learning for adapting language models.
Author(s)
Aymen El Amri is a seasoned software engineer and AI enthusiast with years of experience working with cutting-edge AI technologies. With a strong technical background and a knack for clear, engaging explanations, Aymen has helped countless developers unlock the potential of large language models. His pragmatic approach to writing focuses on giving readers the tools and knowledge to apply theory to practice.
Who is it for?
This book is ideal for software developers and AI enthusiasts with a foundational understanding of programming and AI concepts who want to deepen their expertise in large language models and prompt engineering. It is also suitable for computer science graduate students seeking practical knowledge to complement their studies, and technology practitioners aiming to integrate advanced NLP techniques into their workflows. Finally, researchers and technical team leaders focusing on AI-driven innovation will find this book a valuable resource.
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