Practice Generative AI development within QPython
This video mainly introduces the process of practicing AIGC development in QPython.
With the popularity of ChatGPT, how to use generative AI (hereinafter we also call it AIGC) capabilities in your own applications has become a hot topic. In this blog, we will focus on QPython programming How to obtain AIGC capabilities, this is a tutorial that can guide you to get started with AIGC application development as quickly as possible.
01 What is AIGC and the areas where we can use AIGC
Generative AI (Generative AI) is an artificial intelligence technology based on machine learning and deep learning models that can generate new content, such as images, audio, text, etc. Unlike traditional AI models that can only perform specific tasks, generative AI can autonomously create new data with a certain degree of creativity and imagination.
Generative AI has wide applications in many fields, such as artistic creation, image generation, music synthesis, natural language generation, etc. It can generate new data similar to the original data by learning and imitating existing data, thus having certain creative and innovative capabilities.
02 What is APIGPT and the difference from other AIGC
APIGPT is a generative AI cloud API service that provides developers with one-stop AIGC API services. It provides an aggregate API of multiple generative AI services. It provides a lightweight AIGC development library that can help The majority of Python developers quickly build AIGC applications, and QPython specifically integrates it to help the majority of QPython users gain AIGC programming capabilities.
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