Prompt Engineering for LLMs

📚📚 I. THÔNG TIN SẢN PHẨM
📒 Mã sản phẩm :  STT1524
📒 Nhà xuất bản : O'Reilly Media; 1st edition (December 10, 2024)
📒 Tác giả : John Berryman, Albert Ziegler
📒 Ngôn ngữ :   Tiếng Anh
📒 ISBN      : 1098156153
📒 Số trang :  280 trang
📒 Hình thức : Bìa Mềm, IN ĐEN TRẮNG
📒 Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
📒 Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
📒 Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

📚📚 II. MÔ TẢ SẢN PHẨM
📒 1.Mô tả sản phẩm

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs.

Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. By learning both the philosophical foundation and practical techniques, you'll be equipped with the knowledge and confidence to build the next generation of LLM-powered applications.

• Understand LLM architecture and learn how to best interact with it
• Design a complete prompt-crafting strategy for an application
• Gather, triage, and present context elements to make an efficient prompt
• Master specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG

📒 2. Tác giả

John Berryman is the founder and principal consultant of Arcturus Labs, where he specializes in LLM application development. His expertise helps businesses harness the power of advanced AI technologies. As an early engineer on GitHub Copilot, John contributed to the development of its completions and chat functionalities, working at the forefront of AI-assisted coding tools.

Albert Ziegler has been designing AI-driven systems long before LLM applications became mainstream. As founding engineer for GitHub Copilot, he designed its prompt engineering system and helped inspire a wave of AI-powered tools and "Copilot" applications, shaping the future of developer assistance and LLM applications.