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26 · "prompt engineering"
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1
Show HN: Runprompt – run .prompt files from the command line(github.com)
134 ·chr15m·28 天前·49 评论
这篇Show HN文章介绍了Runprompt工具,该工具支持从命令行运行.prompt文件。它是一款专注于提示词管理和执行的AI开发工具。
2
73% of AI startups are just prompt engineering(pub.towardsai.net)
246 ·kllrnohj·大约 1 个月前·205 评论
本文详细介绍了对200家人工智能初创公司的逆向工程研究,发现其中73%依赖第三方API(如OpenAI、Claude)而非自主深度学习基础设施,揭示了这些公司营销宣传与技术现实之间的差距。
3
Context engineering(chrisloy.dev)
98 ·chrisloy·大约 2 个月前·65 评论
Inference OptimizationLLM Research
本文探讨上下文工程作为LLM提示工程的结构化替代方案,详细解释上下文窗口(序列理解的固定令牌限制)和聊天框架(结构化对话令牌)如何提升LLM的可用性。文章以询问最佳科幻电影为例,说明这些概念如何影响LLM的响应。
4
Anthropic's Prompt Engineering Tutorial (2024)(github.com)
392 ·cjbarber·3 个月前·117 评论
Anthropic & Claude
Anthropic在GitHub上发布了2024年提示工程教程,为使用其AI模型提供有效的提示技巧指导。
5
Attention Is the New Big-O: A Systems Design Approach to Prompt Engineering(alexchesser.medium.com)
93 ·alexc05·4 个月前·45 评论
Code & DevelopmentLLM Research
这则新闻介绍了一种系统设计视角下的提示工程方法,将AI中的注意力机制类比为评估算法效率的基础概念Big-O符号。
6
POML: Prompt Orchestration Markup Language(github.com)
109 ·avestura·5 个月前·48 评论
Microsoft AI
POML(提示编排标记语言)是一种旨在促进AI系统和应用中提示编排工作的标记语言。
7
Context Engineering Guide(nlp.elvissaravia.com)
81 ·Bogdanp·6 个月前·28 评论
AI AgentInference Optimization
《上下文工程指南》提供了设计和优化上下文框架的指导,以提升AI系统处理具有相关情境信息的能力。
8
The new skill in AI is not prompting, it's context engineering(philschmid.de)
915 ·robotswantdata·6 个月前·518 评论
Inference OptimizationLLM Research
人工智能领域的新兴关键技能不再是提示词工程,而是上下文工程,这标志着有效利用人工智能的重点发生了转变。
9
Prompt engineering playbook for programmers(addyo.substack.com)
464 ·vinhnx·7 个月前·169 评论
这则新闻介绍了一本专为程序员打造的提示工程指南,为他们在编码工作流中设计和优化AI工具的有效提示提供实用策略与指导。
10
Doubling Down on Open Source(langfuse.com)
137 ·clemo_ra·7 个月前·13 评论
这篇人工智能新闻强调某机构加倍投入开源AI工作,例如扩大AI工具的访问权限或资助社区项目,以推动该领域的协作与创新。
11
A Complete Guide to Meta Prompting(prompthub.us)
116 ·saikatsg·7 个月前·25 评论
Meta AI
这则新闻推出了一份关于元提示(meta prompting)的完整指南,该技术通过优化提示设计来提升AI模型的性能和输出质量。
12
Claude Code SDK(docs.anthropic.com)
454 ·sync·7 个月前·194 评论
Anthropic & ClaudeCode & Development
💡 The story is about the Claude Code SDK, an AI development tool (SDK) for integrating Claude's code capabilities, which falls under the 'tools' category as defined (includes AI SDKs and prompt engineering tools).
13
Show HN: Cogitator – A Python Toolkit for Chain-of-Thought Prompting(github.com)
54 ·habedi0·7 个月前·8 评论
Local AIOpenAI Ecosystem
💡 The story presents Cogitator, an open-source Python toolkit for Chain-of-Thought (CoT) prompting that supports models like OpenAI and Ollama. This falls into the 'tools' category as it is an AI development tool for prompt engineering and working with CoT methods.
14
Recursive LLM prompts(github.com)
81 ·vlan121·8 个月前·19 评论
💡 The story involves a GitHub repository for recursive LLM prompts, which falls under prompt engineering tools, a subcategory of the tools category.
15
Show HN: Prompt Engine – Auto pick LLMs based on your prompts(jigsawstack.com)
93 ·yoeven·大约 1 年前·21 评论
💡 The story introduces a Prompt Engine tool that auto-selects optimal LLMs for prompts, which aligns with the 'tools' category (development tools & frameworks including prompt engineering tools).
16
Minifying HTML for GPT-4o: Remove all the HTML tags(blancas.io)
149 ·edublancas·超过 1 年前·49 评论
💡 The story discusses minifying HTML to optimize input for GPT-4o, a technique tied to prompt engineering which falls under the tools category.
17
Anthropic's Prompt Engineering Interactive Tutorial(github.com)
284 ·sebg·超过 1 年前·88 评论
Anthropic & Claude
💡 The story introduces Anthropic's interactive tutorial focused on prompt engineering, which aligns with the 'tools' category as prompt engineering tools are explicitly included in its scope.
18
Non-Obvious Prompt Engineering Guide(techsistence.com)
66 ·gregrog·超过 1 年前·1 评论
Code & Development
💡 The story is a guide on prompt engineering, a practice closely tied to AI development tools and techniques covered under the 'tools' category.
19
Prelude – a tiny CLI tool building context prompts from your code(github.com)
57 ·aerugo_·超过 1 年前·27 评论
💡 The story describes Prelude, a CLI tool for building context prompts from code, which falls under the 'tools' category as it is a development tool for prompt engineering.
20
Every Way to Get Structured Output from LLMs(boundaryml.com)
169 ·constantinum·超过 1 年前·83 评论
AI AgentInference Optimization
💡 The story focuses on methods to obtain structured output from LLMs, which aligns with prompt engineering tools and frameworks (like LangChain) that enable structured output handling, falling under the 'tools' category.
21
A web version of Anthropic's prompt engineering interactive tutorial(thenameless.net)
144 ·thenameless7741·超过 1 年前·21 评论
Anthropic & Claude
💡 The story is about a web version of Anthropic's interactive prompt engineering tutorial, which falls under AI development tools as per the 'tools' category definition (includes prompt engineering tools).
22
Show HN: FileKitty – Combine and label text files for LLM prompt contexts(github.com)
69 ·bredren·超过 1 年前·21 评论
💡 FileKitty is a development tool designed to combine and label text files for LLM prompt contexts, which aligns with the 'tools' category covering AI-related frameworks and prompt engineering tools.
23
Anthropic: Prompt Library(docs.anthropic.com)
77 ·tosh·超过 1 年前·9 评论
Anthropic & Claude
💡 The story links to Anthropic's prompt library, which is a prompt engineering tool falling under the 'tools' category.
24
Collection of notebooks showcasing some fun and effective ways of using Claude(github.com)
128 ·adif_sgaid·超过 1 年前·44 评论
Anthropic & ClaudeCode & Development
💡 The story focuses on the Anthropic Cookbook, a collection of notebooks that help users effectively utilize the Claude model. This is a development resource for AI model usage and prompt engineering, aligning with the Tools category.
25
Winner of the SF Mistral AI Hackathon: Automated Test Driven Prompting(prompting.flyflow.dev)
95 ·carlcortright·超过 1 年前·15 评论
💡 The story covers the winner of an AI hackathon project focused on Automated Test Driven Prompting, which falls under prompt engineering tools— a subcategory of the 'tools' category.
26
AI Prompt Engineering Is Dead(spectrum.ieee.org)
70 ·mfiguiere·将近 2 年前·36 评论
Inference OptimizationLLM Research
💡 The article explores the debate on whether AI prompt engineering is obsolete, which aligns with social discussions and opinions about AI's evolving practices.
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