This article mainly focuses on the analysis and summary of the actual application scenarios and usage logic of AI technology. Through this article, you can have the idea and direction of AI technology application and making AI applications.
Date: June 17, 2023
Author: Ren Congcong
The ai application is actually made the same as traditional software, the only difference is the api, this api refers to the api of your trained ai model.
Making an AI application is actually very simple
Making an AI application, such as the cht-gpt application, or the API of a large language model built by yourself is basically the same as the traditional software development.
When you make an AI application, the most important thing for us is to prepare an AI interface, such as openai's chat-gpt, and use this API to call on the web, PC, and mobile.
Using traditional graphical interaction, voice interaction, and game interaction, you can easily handle an AI application.
The core of AI applications is the large language model
For our vast number of programmer friends, few people need to participate in scientific research. For our ordinary developers, just use the ready-made AI technology.
However, there is essentially only one display window and operation window for the actual application of AI technology! !
That is the model, just carry out training, optimization, deployment and application around the model~~
Therefore, we only need to make an AI application, or learn AI technology to master the use of this layer in essence.
To go deeper is to understand the relevant characteristics, characteristics, efficiency, algorithms, theories, etc.
How to learn to master AI-related development capabilities?
1. Learn python, most applications of ai are based on python, learn the language basis of python
2. Learn open source AI frameworks, such as open source machine vision project yolo series, nlp dialogue model project RWKV, lawgpt, mini-gpt, mlc-llm and other open source models.
3. Master the ability of a client, desktop application [c#] (wpf, winform), mobile application [uni-app, flutter], web application [one of php, java, vue, html, go, etc.]
AI Technology Application Scenario Division
1. Machine vision field [ocr image to text, video to text, smart parking, monitoring system, security system, intelligent detection equipment, etc.]
2. Speech synthesis technology [novel dubbing, video dubbing, etc.]
3. Image-to-video technology [Digital Human, Wencheng Video, etc.]
4. Text to picture technology [ai painting, ai making logo]
5.nlp technology [ai consulting, dialogue, ai automation [ai helps you complete some fixed tasks such as data collection, sorting, analysis] (workflow)]
6. Others: In many fields such as ai education, ai medical care, and ai in industrial manufacturing, there will be subdivided scenarios that can be applied.
Do you need a degree to work in the AI industry?
Look at the type, if it is a purely functional application product development, there is no possibility of relying on academic qualifications, because the technology stack is still traditional! ! ! But if you are engaged in scientific research, then you need academic qualifications. The same goes for entering a large company.