awesome-tagged-templates
OpenAI-DotNet
awesome-tagged-templates | OpenAI-DotNet | |
---|---|---|
28 | 37 | |
92 | 601 | |
- | 8.5% | |
10.0 | 7.7 | |
about 3 years ago | 13 days ago | |
C# | ||
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-tagged-templates
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How and why do we bundle zx?
When zx first appeared, it was a tiny esm script that just proposed a new idea for how child_process.spawn API could be enhanced with string template literals.
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Building a Dynamic Client-Side Blog with Secutio & Bootstrap
The template combines HTML and JavaScript. To understand this approach, consider how PHP pages are generated. In PHP, code is embedded within the HTML. Similarly, this library leverages JavaScript template literals to achieve the same objective. From the definition: "Template literals are literals delimited with backtick (`) characters, allowing for multi-line strings, string interpolation with embedded expressions, and special constructs called tagged templates".
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Number and Currency Formatting in JavaScript using Intl.NumberFormat
The numbers we are printing are monetary values so they are missing a decimal value and a currency symbol. One way we can do this is by using JavaScript template literals to append and prepend the pieces we are missing.
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Bun 1.1
Tagged templates[0], the language feature that enables this, were introduced in ECMAScript 2015 apparently – arguably at least somewhat new in the lifespan of JavaScript. :)
Java is getting a similar feature with template processors[1]. It would be nice to have it in Python as well – i.e. not just f-strings, but something that (like tagged templates) allows a template function process the interpolated values to properly encode them for whatever language is appropriate (e.g. shell, SQL, HTML, etc.).
[0] https://developer.mozilla.org/en-US/docs/Web/JavaScript/Refe...
[1] https://openjdk.org/jeps/459
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JavaScript Template Literals
References: Template literals (Template strings)
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A React Developers Guide to Writing Enhance Components
We are using a string template literal to create the tag and the ${} syntax to provide string interpolation, that is, substituting the values of href and altText into our string.
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TypeScript Template Literal Types: Practical Use-Cases for Improved Code Quality
In TypeScript, a string literal type is a type that represents a specific set of string values. For example, the type "red" | "green" | "blue" represents the set of three string values "red", "green", and "blue". Template literal types allow you to perform operations on these string literal types using the same syntax as template literal strings in JavaScript.
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Exploring Secutio Task by Task. Setting "Events" Like Stylesheets!
The example also showcases the use of inline templates, employing JavaScript Template Literals. The JSON data obtained from the GET request is accessible through the "data" variable.
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The Bun Shell
These are called "tagged templates": https://developer.mozilla.org/en-US/docs/Web/JavaScript/Refe...
- AI for Web Devs: Your First API Request to OpenAI
OpenAI-DotNet
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Website Optimization Using Strapi, Astro.js and OpenAI
Okay, now we've confirmed the API endpoint is working, let's connect it to OpenAI first, install the OpenAI package, navigate to the route directory, and run the command below in our terminal
- OpenAI page changed: new Search picture
- OpenAI Website Relaunch
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Simplify Restaurant Reservations with Lyzr.ai's Chatbot-Powered App
You can obtain an OpenAI API key by visiting the OpenAI website.
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Build an AI Code Translator (and Optimizer) Using ToolJet and OpenAI
OpenAI Account: Register for an OpenAI account to utilize AI-powered features in your ToolJet applications. Sign up here.
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KodiBot - Local Chatbot App for Desktop
KodiBot is a desktop app that enables users to run their own AI chat assistants locally and offline on Windows, Mac, and Linux operating systems. KodiBot is a standalone app and does not require an internet connection or additional dependencies to run local chat assistants. It supports both Llama.cpp compatible models and OpenAI API.
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Sentiment Analysis with PubNub Functions and HuggingFace
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides open-source AI and machine learning models that can easily be deployed on HuggingFace itself or third-party systems such as Amazon SageMaker or Azure ML. You can interface with these deployments through an API and control the scaling of these models, which makes them perfectly suited for production environments. These models range in size but are generally small AI models that are good at doing one specific task. With capabilities to fine-tune these models, or use the pre-trained model for specific tasks, embedding them into various applications becomes more efficient, enhancing automation and performance. Combining these models can create new and intricate AI applications. In this case, by utilizing HuggingFace models, you wouldn’t have to depend on a production application on a third-party provider such as OpenAI or Google, ensuring a more targeted and customizable approach to deploying deep learning solutions in your operations.
- Analiza nastrojów za pomocą funkcji PubNub i HuggingFace
- Sentiment-Analyse mit PubNub-Funktionen und HuggingFace
- Analyse des sentiments avec les fonctions PubNub et HuggingFace
What are some alternatives?
rewrite-styled-components - Rewrite library styled-components in ~ 60 line code
openai - OpenAI .NET sdk - Azure OpenAI, ChatGPT, Whisper, and DALL-E
dom-examples - Code examples that accompany various MDN DOM and Web API documentation pages
generative-ai-for-beginners - 18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
bnx - zx inspired shell for Bun.
speak-gpt - Your personal voice assistant based on OpenAI ChatGPT.
enhance-starter-project - file based routing metaframework for blazing fast custom elements
OpenAI.Net - OpenAI library for .NET
dax - Cross-platform shell tools for Deno and Node.js inspired by zx.
NCalc2 - expression evaluator for .NET with built-in compiler
enhance.dev - Docs website for Enhance!
SlackAI - Slack LLM app integration