liboai VS Visual Studio Code

Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.

1.OpenAI API

OpenAI Account – make an OpenAI Account here

Their big advantage is that they can quickly deal with data they’ve never seen before and scale. NVIDIA and Open AI are currently leading providers of such technologies. Read more.

You need an API key https://openai.com/api

To run ChatGPT, you need access to OpenAI’s API3, which provides a cloud-based platform for interacting with various models, including ChatGPT. You can sign up for an account and request access to the API here: https://openai.com/api/

To get started, go to OpenAI and create an account. After that, click on your profile on the top right corner, and select view API keys.

As far as I know the ChatGPT API isn’t public yet. However you can use the GPT3 version from OpenAI which do have an API you can connect to. The Davinci-003 text model is pretty damn good. https://openai.com/api/ for more info

GPT-3: GPT-3 is an advanced language generation model developed by OpenAI. It is capable of generating high-quality human-like text with a high degree of coherence and coherence. The model has been trained on a vast corpus of text, making it capable of generating text across a range of topics. GPT-3 can be used for a variety of content creation tasks such as blog posts, articles, and social media updates. One of the most significant advantages of using GPT-3 is that it can save a significant amount of time when creating content. The model can generate text much faster than a human writer, and the output can be used as a starting point for further refinement.

An IDE or text editor; we'll use Visual Studio 2022 for this tutorial, but a lightweight IDE such as Visual Studio Code will work just as well

Choosing IDE: Selecting the right Integrated Development Environment (IDE) can make your coding experience smoother. Consider popular options like as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and configure it to work with Python.

It all starts with the editor. Visual Studio Code (VS Code) is my go-to editor. I was using the Insider’s Edition for the longest time, but some extensions would try to log in and redirect to VS Code regular edition, so I decided to go back to it. That said, VS Code Insider's is very stable.

Meanwhile, a developer workflow that does not require access to AWS Management Console may provide a better experience. As a developer, I appreciate having an integrated development environment (IDE) such as Visual Studio Code where I can code, deploy, and test in one place.

Good to know: If you're a Visual Studio Code user, you can enhance your coding experience by installing the ESLint and Prettier extensions. These extensions provide real-time error and warning highlighting, as well as automatic formatting and code fixing on save.

Download any code editor e.g. VS code. Visual Studio code which is a code editor with support for development operations like debugging, task running, and version control. Go to https://code.visualstudio.com

A code editor (VS Code is my go-to IDE), but feel free to use any code editor you're comfortable with.

First, grab your favorite command-line tool, Terminal or Warp, and a code editor, preferably VS Code and let’s begin.

C# is very good as a language, have developed in it for 5+ years. The problem is the gap between what MSFT promises to management and actually delivers to developers. You really really need to fully read the fine print, think of the omissions in documentation and implement a proof-of-concept that almost implements the full solution to find out the hidden gotchas.

For example, even probably their best product VS Code only got reasonable multiple screens support last year: https://github.com/microsoft/vscode/issues/10121#issuecommen...

And then, on the other end of the spectrum, you have Teams.

Hey fellow amazing developers, we got you Essential VS Code Extensions for 2024 (these are especially important for web developers) recommended by our developers at evotik, we wont talk about ESlint nor Prettier which all of you already know.