prompt-engine-py
Tailwind CSS
prompt-engine-py | Tailwind CSS | |
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2 | 1,286 | |
186 | 78,752 | |
0.0% | 1.5% | |
0.0 | 9.4 | |
about 1 year ago | 8 days ago | |
Python | TypeScript | |
MIT License | MIT License |
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prompt-engine-py
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How do you optimize your prompts if you have no prompting background?
I’ve heard of tools like the OpenAI Codex Playground where I can experiment with the OpenAI API but I think that uses tokens and at some point I have to pay? I also heard of PromptEngine (although I don’t have a github account yet) and PromptPerfect which I think are both tools that are designed to help you optimize your prompts for AI-generated content.
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Prompt Engine – Microsoft's prompt engineering library
It works in Python too: https://github.com/microsoft/prompt-engine-py
Tailwind CSS
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Essential Tools & Technologies for New Developers
Lastly, Tailwind CSS is a utility-first CSS framework packed with classes like flex, pt-4, text-center, and rotate-90 that can be composed to build any design, directly in your markup.
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E-commerce checkout components built with Tailwind CSS and Flowbite
Tailwind CSS
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Hanami and HTMX - progress bar
Sidekiq is already configured along with assets, tailwindsCSS.
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How to Build Your Own ChatGPT Clone Using React & AWS Bedrock
Finally, for our front end, we’re going to be pairing Next.js with the great combination of TailwindCSS and shadcn/ui so we can focus on building the functionality of the app and let them handle making it look awesome!
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Building an Email Assistant Application with Burr
You can use any frontend framework you want — react-based tooling, however, has a natural advantage as it models everything as a function of state, which can map 1:1 with the concept in Burr. In the demo app we use react, react-query, and tailwind, but we’ll be skipping over this largely (it is not central to the purpose of the post).
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Tailwind CSS: A utility-first CSS framework for rapidly building custom designs.
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Preline UI + Gowebly CLI = ❤️
First, you need to make sure that you have a working Tailwind CSS project…
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The best testing strategies for frontends
With better CSS approaches like TailwindCSS and Vanilla Extract (which we're heavily using) it's much easier to maintain the UI and make sure it doesn't change unexpectedly. No more conflicting CSS classes, much less CSS specificity issues and much less CSS code in general.
What are some alternatives?
dspy - DSPy: The framework for programming—not prompting—foundation models
flowbite - Open-source UI component library and front-end development framework based on Tailwind CSS
prompt-engine - A library for helping developers craft prompts for Large Language Models
antd - An enterprise-class UI design language and React UI library
stablecog
unocss - The instant on-demand atomic CSS engine.
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.
windicss - Next generation utility-first CSS framework.
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
emotion - 👩🎤 CSS-in-JS library designed for high performance style composition
Material UI - Ready-to-use foundational React components, free forever. It includes Material UI, which implements Google's Material Design.
vuetify - 🐉 Vue Component Framework