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rel="noopener noreferrer" href="/blog/star-history-open-source-2022-open-source-alternatives"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 OSS Alternatives</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-yearly-pick-2022-frontend"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 Front-end</span></a></li></ul></div><div><div class="w-full flex flex-row justify-between items-center my-2"><h3 class="text-sm font-medium text-gray-400 leading-6">Starlet List</h3></div><ul class="list-disc list-inside"><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/list-your-open-source-project"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">🎁 Prompt yours for FREE</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/trench"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #28 - Trench</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/langfuse"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #27 - langfuse</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/thepipe"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #26 - thepi.pe</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/taipy"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #25 - Taipy</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/superlinked"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #24 - Superlinked</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/tea-tasting"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #23 - tea-tasting</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/giskard"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #22 - Giskard</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/khoj"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #21 - Khoj</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/paradedb"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #20 - ParadeDB</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/skyvern"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #19 - Skyvern</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/prisma"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #18 - Prisma</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/spicedb"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #17 - SpiceDB</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/answer"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #16 - Apache Answer</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/infinity"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #15 - Infinity</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/proton"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #14 - Proton</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/earthly"><span class="inline -ml-2 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class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #8 - Prompt flow</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/clipboard"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #7 - Clipboard</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/hoppscotch"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #6 - Hoppscotch</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/metisfl"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #5 - MetisFL</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/chatgpt-js"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #4 - chatgpt.js</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/mockoon"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #3 - Mockoon</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/dlta-ai"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #2 - DLTA-AI</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/sniffnet"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #1 - Sniffnet</span></a></li></ul></div></div></div><div class="w-full flex flex-col justify-start items-center"><div class="w-full p-4 md:p-0 mt-6 md:w-5/6 lg:max-w-6xl h-full flex flex-col justify-start items-center self-center"><img class="hidden md:block w-auto max-w-full object-scale-down" src="/assets/blog/prompt-engineering/banner.webp" alt=""/><div class="w-auto max-w-6xl mt-4 md:mt-12 prose prose-indigo prose-xl md:prose-2xl flex flex-col justify-center items-center"><h1 class="leading-16">Star History Monthly Apr 2024 | Open Source Prompt Engineering Guides & Tools</h1></div><div class="w-full mt-8 mb-2 max-w-6xl px-2 flex flex-row items-center justify-center text-sm text-gray-900 font-semibold trackingwide uppercase"><div class="flex space-x-1 text-gray-500"><span class="text-gray-900">Mila</span><span aria-hidden="true"> · </span><time dateTime="2024-05-01:00:00.000Z">May 1, 2024</time><span aria-hidden="true"> · </span><span> 3 min read </span></div></div><div class="mt-8 w-full max-w-5xl prose prose-indigo prose-xl md:prose-2xl"><p>Prompt Engineering is to design and refine prompts or instructions given to a language model, in order to elicit desired responses. To make the most of the language model's capabilities while ensuring the responses are accurate and tailored to their needs, you often need to carefully craft the input provided to the model to guide its output towards specific objectives.</p> <p>For the selections, we divided them into two sections: The guides which will take you through the basics of prompt engineering, and the tools for managing your prompts.</p> <ul> <li><a href="#prompt-engineering-guide">Prompt Engineering Guide</a></li> <li><a href="#awesome-gpts-prompts">Awesome-GPTs-Prompts</a></li> <li><a href="#langfuse">Langfuse</a></li> <li><a href="#pezzo">Pezzo</a></li> <li><a href="#agenta">Agenta</a></li> </ul> <h2>The Guides</h2> <h3>Prompt Engineering Guide</h3> <p><a href="https://github.com/dair-ai/Prompt-Engineering-Guide">Prompt Engineering Guide</a> is the holy grail of all guides, aiming to make it easier to stay up-to-date with prompt engineering guides, techniques, applications and papers. If you are getting started, this is an excellent place to start.</p> <p><img src="/assets/blog/prompt-engineering/prompt-eng-guide.webp" alt="prompt-eng-guide"></p> <p>Since going live at the end of 2022, Prompt Engineering Guide has grown to support 13 languages, its courses have educated over 3M learners, and they have put together a 1-hour lecture that provides an overview of prompting techniques, applications, and tools.</p> <h3>Awesome-GPTs-Prompts</h3> <p><a href="https://github.com/ai-boost/awesome-prompts">Awesome-GPTs-Prompts</a> is a curated list of prompts from the top-rated GPTs so that you can unlock the magic behind large language models more easily.</p> <p><img src="/assets/blog/prompt-engineering/awesome-prompts.webp" alt="awesome-prompts"></p> <p>The curated list includes GPTs from the official GPT Store, prompts from the community, and some interesting resources on basic prompt engineering, how to prompt attack and prompt protect.</p> <h2>Prompt Management</h2> <h3>Langfuse</h3> <p>Once you have the basics of prompt engineering down, it's time to manage and test your prompts so that they are on their A-game.</p> <p><a href="https://github.com/langfuse/langfuse/">Langfuse</a> is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.</p> <p>With it, even non-tech users can manage, version and deploy prompts. It's also pretty straightforward to rollback to a previous version of a prompt (we all make mistakes😬).</p> <p><img src="/assets/blog/prompt-engineering/langfuse.webp" alt="langfuse"></p> <p>And there's <a href="https://langfuse.com/why">more</a> to it: tracing, monitoring, testing are also part of the Langfuse platform.</p> <h3>Pezzo</h3> <p><a href="https://github.com/pezzolabs/pezzo">Pezzo</a> is a cloud-native LLMOps platform. You can observe and monitor your AI operations, troubleshoot issues, collaborate and manage your prompts in one place, and instantly deliver AI changes.</p> <p><img src="/assets/blog/prompt-engineering/pezzo.webp" alt="pezzo"></p> <p>With Pezzo, you have a centralized place for prompt management:</p> <ul> <li>Design, testing and versioning of prompts</li> <li>Instant prompt deployments</li> <li>Observability including prompt execution history, stats and metrics</li> <li>Troubleshooting to resolve issues with prompts</li> </ul> <h3>Agenta</h3> <p><a href="https://github.com/agenta-ai/agenta">Agenta</a> is an end-to-end LLMOps platform. It provides tools for prompt engineering and management, evaluation, human annotation, and deployment.</p> <p><img src="/assets/blog/prompt-engineering/agenta.webp" alt="angenta"></p> <p>For Agenta, prompt <em>engineering</em> is taken very seriously, and they have different ways of evaluating, experimenting and comparing your prompts.</p> <p>You can either use a set of built-in evaluators that can be configured, loading test sets, or simply compare variants side by side where you can view the results of multiple variants simultaneously.</p> <h2>Lastly</h2> <p>More companies than ever have launched their own AI tools, as simple as a chatbot to automation, or project management tools. As McKinsey <a href="https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-prompt-engineering">puts it</a>, "Prompt engineering is likely to become a larger hiring category in the next few years".</p> <p>Obtaining desired results is not that complicated, but it requires practice to provide specific, clear instructions to the computers. 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Tools","slug":"prompt-engineering","author":"Mila","featured":true,"featureImage":"/assets/blog/prompt-engineering/banner.webp","publishedDate":"2024-05-01:00:00.000Z","excerpt":"Prompt Engineering is to design and refine prompts or instructions given to a language model, in order to elicit desired responses.","readingTime":3},"parsedBlogHTML":"\u003cp\u003ePrompt Engineering is to design and refine prompts or instructions given to a language model, in order to elicit desired responses. To make the most of the language model\u0026#39;s capabilities while ensuring the responses are accurate and tailored to their needs, you often need to carefully craft the input provided to the model to guide its output towards specific objectives.\u003c/p\u003e\n\u003cp\u003eFor the selections, we divided them into two sections: The guides which will take you through the basics of prompt engineering, and the tools for managing your prompts.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"#prompt-engineering-guide\"\u003ePrompt Engineering Guide\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#awesome-gpts-prompts\"\u003eAwesome-GPTs-Prompts\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#langfuse\"\u003eLangfuse\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#pezzo\"\u003ePezzo\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#agenta\"\u003eAgenta\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003eThe Guides\u003c/h2\u003e\n\u003ch3\u003ePrompt Engineering Guide\u003c/h3\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/dair-ai/Prompt-Engineering-Guide\"\u003ePrompt Engineering Guide\u003c/a\u003e is the holy grail of all guides, aiming to make it easier to stay up-to-date with prompt engineering guides, techniques, applications and papers. If you are getting started, this is an excellent place to start.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/prompt-engineering/prompt-eng-guide.webp\" alt=\"prompt-eng-guide\"\u003e\u003c/p\u003e\n\u003cp\u003eSince going live at the end of 2022, Prompt Engineering Guide has grown to support 13 languages, its courses have educated over 3M learners, and they have put together a 1-hour lecture that provides an overview of prompting techniques, applications, and tools.\u003c/p\u003e\n\u003ch3\u003eAwesome-GPTs-Prompts\u003c/h3\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/ai-boost/awesome-prompts\"\u003eAwesome-GPTs-Prompts\u003c/a\u003e is a curated list of prompts from the top-rated GPTs so that you can unlock the magic behind large language models more easily.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/prompt-engineering/awesome-prompts.webp\" alt=\"awesome-prompts\"\u003e\u003c/p\u003e\n\u003cp\u003eThe curated list includes GPTs from the official GPT Store, prompts from the community, and some interesting resources on basic prompt engineering, how to prompt attack and prompt protect.\u003c/p\u003e\n\u003ch2\u003ePrompt Management\u003c/h2\u003e\n\u003ch3\u003eLangfuse\u003c/h3\u003e\n\u003cp\u003eOnce you have the basics of prompt engineering down, it\u0026#39;s time to manage and test your prompts so that they are on their A-game.\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/langfuse/langfuse/\"\u003eLangfuse\u003c/a\u003e is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.\u003c/p\u003e\n\u003cp\u003eWith it, even non-tech users can manage, version and deploy prompts. It\u0026#39;s also pretty straightforward to rollback to a previous version of a prompt (we all make mistakes😬).\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/prompt-engineering/langfuse.webp\" alt=\"langfuse\"\u003e\u003c/p\u003e\n\u003cp\u003eAnd there\u0026#39;s \u003ca href=\"https://langfuse.com/why\"\u003emore\u003c/a\u003e to it: tracing, monitoring, testing are also part of the Langfuse platform.\u003c/p\u003e\n\u003ch3\u003ePezzo\u003c/h3\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/pezzolabs/pezzo\"\u003ePezzo\u003c/a\u003e is a cloud-native LLMOps platform. You can observe and monitor your AI operations, troubleshoot issues, collaborate and manage your prompts in one place, and instantly deliver AI changes.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/prompt-engineering/pezzo.webp\" alt=\"pezzo\"\u003e\u003c/p\u003e\n\u003cp\u003eWith Pezzo, you have a centralized place for prompt management:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eDesign, testing and versioning of prompts\u003c/li\u003e\n\u003cli\u003eInstant prompt deployments\u003c/li\u003e\n\u003cli\u003eObservability including prompt execution history, stats and metrics\u003c/li\u003e\n\u003cli\u003eTroubleshooting to resolve issues with prompts\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3\u003eAgenta\u003c/h3\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/agenta-ai/agenta\"\u003eAgenta\u003c/a\u003e is an end-to-end LLMOps platform. It provides tools for prompt engineering and management, evaluation, human annotation, and deployment.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/prompt-engineering/agenta.webp\" alt=\"angenta\"\u003e\u003c/p\u003e\n\u003cp\u003eFor Agenta, prompt \u003cem\u003eengineering\u003c/em\u003e is taken very seriously, and they have different ways of evaluating, experimenting and comparing your prompts.\u003c/p\u003e\n\u003cp\u003eYou can either use a set of built-in evaluators that can be configured, loading test sets, or simply compare variants side by side where you can view the results of multiple variants simultaneously.\u003c/p\u003e\n\u003ch2\u003eLastly\u003c/h2\u003e\n\u003cp\u003eMore companies than ever have launched their own AI tools, as simple as a chatbot to automation, or project management tools. As McKinsey \u003ca href=\"https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-prompt-engineering\"\u003eputs it\u003c/a\u003e, \u0026quot;Prompt engineering is likely to become a larger hiring category in the next few years\u0026quot;.\u003c/p\u003e\n\u003cp\u003eObtaining desired results is not that complicated, but it requires practice to provide specific, clear instructions to the computers. We have a great list for you, get started playing🤸.\u003c/p\u003e\n\u003cp\u003e📧 \u003cem\u003eSubscribe to our \u003ca href=\"https://star-history.beehiiv.com/subscribe\"\u003eweekly newsletter here\u003c/a\u003e.\u003c/em\u003e\u003c/p\u003e\n"},"__N_SSG":true},"page":"/blog/[slug]","query":{"slug":"prompt-engineering"},"buildId":"xKX4ZiOi_N7h3OBOEsSZu","isFallback":false,"gsp":true,"scriptLoader":[]}</script></body></html>