Prompt Engineering Author: Lee Boonstra Prompt Engineering February 2025 2 Acknowledgements Content contributors Michael Sherman Yuan Cao Erick Armbrust Anant Nawalgaria Antonio Gulli Simone Cammel Grace Mollison Technical Writer Joey Haymaker Designer Michael Lanning Introduction 6 Prompt engineering 7 LLM output configuration 8 Output length 8 Sampling controls 9 Temperature 9 Top-K and top-P 29 Self-consistency 32 Tree of Thoughts (ToT) 36 ReAct (reason & act) 37 Automatic Prompt Engineering 40 Code prompting 42 Prompts for writing code 42 Prompts for explaining code 44 Prompts for

献，但不是 主要的考虑因素，只有在产品性能差别不大时，才会选择对开源社区贡献大的供应商。  When companies buy open source products, the engineering team leader (technical director/architect / TL) selects most of them. In the same type of software courses. We hope the follow-up can be achieved in the learning of computers, compiling principles, software engineering, and other theoretical knowledge at the same time so that students learn to master companies buy open source products (commercial products based on open source projects), most engineering team leaders (technical directors/architects/TLs) will select the product. Half of them will

new category of LLM-powered systems known as agents. This guide is designed for product and engineering teams exploring how to build their first agents, distilling insights from numerous customer deployments agent’s abilities, and you can diagnose where smaller models succeed or fail. In summary, the principles for choosing a model are simple: 01 Set up evals to establish a performance baseline 02 Focus handoffs that transfer execution between agents. Regardless of the orchestration pattern, the same principles apply: keep components flexible, composable, and driven by clear, well-structured prompts. 17

Technology, Austria Institute of Interactive Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 11, 2021 2 706.015 Introduction to Scientific Management) [Ioana Manolescu, Stefan Manegold: Performance Evaluation in Database Research: Principles and Experiences, ICDE 2008] 5 706.015 Introduction to Scientific Writing – 03 Experiments & Reproducibility Result Presentation [I. Manolescu, S/ Manegold: Performance Evaluation in Database Research: Principles and Experiences, ICDE 2008] 8 706.015 Introduction to Scientific Writing – 03 Experiments &

requires careful engineering optimization to manage the GPU memory and RAM pressure, and meanwhile maintain a fast training speed. For this goal, we implement the following engineering optimizations. (1) serving with pagedattention. In Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles, 2023. G. Lai, Q. Xie, H. Liu, Y. Yang, and E. H. Hovy. RACE: large-scale reading comprehension preprint arXiv:2311.07911, 2023. 26 Appendix A. Contributions and Acknowledgments Research & Engineering Aixin Liu Bingxuan Wang Bo Liu Chenggang Zhao Chengqi Deng Chong Ruan Damai Dai Daya Guo Dejian

Application Development W08 - Chatwoot Chatwoot Helpdesk / "Modern ITSM" W21 - Dataform Dataform Data Engineering W18 - DevicePlane Deviceplane Embedded Systems W20 - Docker / fka DotCloud Docker DevOps S10 软件项目长期不断恶化的矛盾有关。另外根据长期参与 Rust 社区的 Dragdu，撰 文透露，社区内部的分歧还与 “Abolish ICE” 运动有所关联。尽管 Rust 社区在诞生之初便倡导和推广 “Rustacean Principles” 原则以凝聚共识，2018 年还成立了专门的“治理工作组”，但社区矛盾未得 到有效缓和。虽然 Rust 编程语言项目近年大获成功，但此次集体辞职事件却也反映了 Rust 社区的治理 难题。

Options General Concepts The screentone generator is based on traditional and digital halftoning principles. Following are some explanations of basic concepts used through this page. Pixel Grid The pixel brush editor. Since Adobe hasn’t disclosed the file format specification, we depend on reverse-engineering to figure out what to load, and currently that’s limited to basic features. Krita is slow There design principles do not always overlap with the C++ Standards Committee design principles. (Range-based for demonstrates the design clash pretty clearly.) https://wiki.qt.io/API_Design_Principles Particular

Stanford University… 1: AI ‘Winter’ was a term used by Nils J. Nilsson, the Kumagai Professor of Engineering in computer science at Stanford University, to describe the period during which AI continued to would understand goals, generate plans, and self-correct in real time. They could drive research, engineering, education, and logistics workflows with little to no human oversight – handling ambiguity and databases. Model development = frameworks for modeling & training, inference optimization, dataset engineering, & model evaluation. Application development = custom AI-powered applications (varied use cases)

Options General Concepts The screentone generator is based on traditional and digital halftoning principles. Following are some explanations of basic concepts used through this page. Pixel Grid The pixel brush editor. Since Adobe hasn’t disclosed the file format specification, we depend on reverse-engineering to figure out what to load, and currently that’s limited to basic features. Krita is slow There design principles do not always overlap with the C++ Standards Committee design principles. (Range-based for demonstrates the design clash pretty clearly.) https://wiki.qt.io/API_Design_Principles Particular

first, computers second. Documentation is an important part of this skill. There’s a spectrum of engineering documentation that ranges from terse com- ments to detailed prose: 1. Inline comments: The primary