OpenAI-DotNet
PM2
OpenAI-DotNet | PM2 | |
---|---|---|
37 | 60 | |
613 | 40,848 | |
6.2% | - | |
7.7 | 6.4 | |
12 days ago | 10 days ago | |
C# | JavaScript | |
MIT License | GNU General Public License v3.0 or later |
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.
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
PM2
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Understanding Nginx: From Simple Concepts to Technical Details and Deploying securely with PM2 and Certbot
More pm2 commands here
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Node.js PM2 Explained
Start by registering the app using the official guide.
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Deploy Node.js applications on a VPS using Coolify
Run the application using PM2 (ref: Process manager for Node.js)
- PM2: Production Process Manager with a Built-In Load Balancer
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AI for Web Devs: Deploying Your AI App to Production
There are plenty of ways to accomplish this: Docker, Kubernetes, Pulumis, etc., but I don’t like to add too much complexity. So for a basic app, I like to use PM2, a Node.js process manager with great features, including the ability to run our app in the background.
- PM2 Cheatsheet
- Is PM2 safe to install on my Mint?
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How to get the count of your followers on dev.to
This project will consist of a single "index.js" file that you can deploy anywhere. I recommend using an Nginx reverse proxy and pm2 to keep the service running.
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A Guide To Self-Hosting Web Apps On Ubuntu Servers
Your app should be running now. To be able to run the app in the background, I will use pm2. Stop your application using "Ctrl + C" and install pm2
- How to run Ec2-instance constantly?
What are some alternatives?
openai - OpenAI .NET sdk - Azure OpenAI, ChatGPT, Whisper, and DALL-E
Nodemon.io - Monitor for any changes in your node.js application and automatically restart the server - perfect for development
generative-ai-for-beginners - 18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
supervisor
speak-gpt - Your personal voice assistant based on OpenAI ChatGPT.
forever - A simple CLI tool for ensuring that a given script runs continuously (i.e. forever)
OpenAI.Net - OpenAI library for .NET
Phusion Passenger - A fast and robust web server and application server for Ruby, Python and Node.js
NCalc2 - expression evaluator for .NET with built-in compiler
supervisor - Supervisor process control system for Unix (supervisord)
SlackAI - Slack LLM app integration
naught - Zero downtime deployment for your Node.js server using builtin cluster API