关键词 "reverse engineering" 的搜索结果， 共 24 条, 只显示前 480 条
Union.ai simplifies AI, data, and analytics, reducing costs and time to market by 90%.
An Internal Developer Portal with an AI assistant to boost engineering productivity.
AI-powered resume builder for software engineers.
Freshly.ai combines AI and human collaboration to unlock AI's potential, enhancing capabilities and delivering exceptional results.
The ultimate resource for AI prompts and prompt engineering.
AI-powered job board for IT, Science, and Engineering jobs
Optimize prompt management and save time.
Online requirements management tool for systems engineering
Automates AI prompt engineering for faster, optimized outputs.
Boost productivity and creativity with easy and effective AI for knowledge workers.
Open-source AI code editor for fast development and enhanced coding.
Noty.ai is meeting transcription software that offers automated transcription and note-taking for Google Meet and Zoom meetings, keeping users engaged and capturing important information.
Summary: Docugami automates tasks and saves time with intelligent document processing and AI contract management.
Enhance browsing efficiency and optimize content creation with writeGPT web extension.
AI for detecting adult performers in images
Cradle platform speeds up protein design with AI algorithms. 重点领域：治疗学、诊断学、食品、化学品和农业 主要合作伙伴：诺和诺德、强生、Grifols 和 Twist Biosciences 最新消息：B 轮融资7300 万美元 Cradle Bio 使用生成式 AI 帮助生物学家设计改良蛋白质
Unified platform for search, visualization, and action
AI drafts scientific literature reviews instantly.
Learn Prompting is an online course teaching effective communication with AI in multiple languages.
PromptHero is a top AI website with prompts and job opportunities.
No-code platform Pickaxe enables prompt engineers to build and manage AI apps easily.
Visla is an AI-powered platform for easy video recording, editing, and sharing.
Semantic Scholar is a free AI research tool that helps scholars find relevant scientific literature.
提示工程指南 提示词工程（Prompt Engineering）是一门较新的学科，关注提示词开发和优化，帮助用户将大语言模型（Large Language Model, LLM）用于各场景和研究领域。 掌握了提示工程相关技能将有助于用户更好地了解大型语言模型的能力和局限性。 研究人员可利用提示工程来提升大语言模型处理复杂任务场景的能力，如问答和算术推理能力。开发人员可通过提示工程设计、研发
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