In December 2022, I opened my OpenAI account and began exploring the API. It was so much fun! Shortly after, I started sharing knowledge on Stack Overflow. At the time, OpenAI was not yet as popular as today, but it started getting traction. Since today, I have helped hundreds of thousands of people solve their errors when implementing OpenAI APIs into different projects and have become the Top answerer of all time for OpenAI API questions on Stack Overflow.
Fast forward to November 6, 2023, OpenAI’s first DevDay, and I kicked off my YouTube channel. Why? Because I’m on a mission to share practical AI-related coding knowledge in video format. Let’s skip the fluff and dive straight into the code!
Subscribe to my channel for hands-on AI implementation. In a world where everybody talks about AI, I’m here to show you how to make it work in real life.
PS: I want to emphasize that the purpose of my tutorials is not that you code parallel to me. For this matter, I always upload the full code to my GitHub profile. See the repository for tutorials.
In today’s tutorial, we are going to look at a feature that was released on OpenAI’s first-ever DevDay, which is how to get an OpenAI API response in JSON format. I’ll show you an example in both Python and Node.
In today’s tutorial, we are going to build a personal math tutor with the OpenAI Assistants API using the Code Interpreter tool. The Assistants API was released on OpenAI’s first-ever DevDay. I’ll show you an example in both Python and Node.
Graphical user interface for a personal math tutor
In today’s tutorial, we are going to build a Next.js graphical user interface so that we can chat with the personal math tutor that we built in the previous tutorial with the OpenAI Assistants API using the Code Interpreter tool.
In today’s tutorial, we are going to build a customer support chatbot with the OpenAI Assistants API using the Knowledge Retrieval tool. The Assistants API was released on OpenAI’s first-ever DevDay. I’ll show you an example in both Python and Node.js.
Terminal user interface for a customer support chatbot
In today’s tutorial, we are going to build a terminal user interface so that we can chat with the customer support chatbot that we built in the previous tutorial with the OpenAI Assistants API using the Knowledge Retrieval tool. I’ll show you an example in both Python and Node.js.
If you can give me some pointers I’d appreciated it. Currently I am kind of cheating by asking ChatGPT to help me solve it with Python and Google OR-Tools as another forum member kindly suggested.
I have basic knowledge of Python only, but if AI can somehow be used to solve this complex task I’d be very happy.
Terminal user interface for a customer support chatbot with response streaming
In today’s tutorial, we are going to add response streaming functionality to the terminal user interface for the customer support chatbot that we built in the previous OpenAI tutorial. I’ll show you an example in both Python and Node.js.
How to poll or stream OpenAI Assistants API v2 response in Python & Node.js TUI
In today’s tutorial, we are going to learn how to get the assistant answer using the OpenAI Assistants API v2. There are two ways: response polling and response streaming. I’ll show you examples of both in both Python and Node.js.
Hello world! 
My name is Rok.
In December 2022, I opened my OpenAI account and began exploring the API. It was so much fun! Shortly after, I started sharing knowledge on Stack Overflow. At the time, OpenAI was not yet as popular as today, but it started getting traction. Since today, I have helped hundreds of thousands of people solve their errors when implementing OpenAI APIs into different projects and have become the Top answerer of all time for OpenAI API questions on Stack Overflow.
Fast forward to November 6, 2023, OpenAI’s first DevDay, and I kicked off my YouTube channel. Why? Because I’m on a mission to share practical AI-related coding knowledge in video format. Let’s skip the fluff and dive straight into the code!
Subscribe to my channel for hands-on AI implementation. In a world where everybody talks about AI, I’m here to show you how to make it work in real life.
