In the rapidly evolving world of software development, the integration of artificial intelligence (AI) into backend development is a groundbreaking innovation. Among the most intriguing advancements is the use of Generative Pre-trained Transformers (GPT) to manage backend operations. This article delves into the steps required to create a GPT-based backend, revolutionizing how we think about coding and server management. Step 1: Understanding the Concept Before diving into the technicalities, it's crucial to grasp the idea behind a GPT-powered backend. This system replaces conventional code-based backend logic with a language model that interprets and executes API calls. The beauty of this approach lies in its simplicity and flexibility, allowing developers to manage backend processes using natural language commands. Step 2: Setting Up the Environment To begin, clone the repo https://github.com/trending-ai/backend-GPT , have Python 3 and Node JS installed. You'll also need ...
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