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Series
A deep dive into OpenAI’s models, applications, and use cases. Learn how GPT, DALL·E, Codex, and Whisper work, with easy-to-follow insights, practical examples, and best practices for beginners and developers.
Introduction Imagine you’re driving on a highway with a speed limit. Going too fast results in a penalty, and exceeding a certain number of cars per minute might cause congestion. APIs work similarly—rate limits control how often and how much data ca...
Imagine you’re writing a text message, but there’s a character limit. You have to be careful with your words to make sure you get your point across before running out of space. In the world of AI, a similar rule exists—it's called maximum tokens. Whe...
Imagine you could create your own AI-powered chatbot, customer support assistant, or even a creative writing tool with just a few lines of code. That’s exactly what the OpenAI Chat Completions API allows you to do! The OpenAI Chat Completions API is ...
Introduction Imagine asking a history teacher about current world events, only to realize they haven’t read the news in years. While they can provide rich insights about past events, they won’t be able to discuss recent developments. This is exactly ...
Introduction Imagine having a conversation with someone who remembers everything you’ve said in great detail versus someone who can only recall the last few sentences. That’s the difference context length makes in OpenAI’s models. OpenAI’s AI models,...
Introduction Imagine having a super-intelligent assistant who can write, code, create images, and even chat with you—this is what OpenAI's models aim to achieve. But how do they work, and why do they matter? In simple terms, OpenAI develops artificia...
