What are the useful AI tools in 2023?
With a flick of a finger, nearly five months have passed in 2023. For the AI field, these 5 months are simply pressing the "fast forward button".
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After chatgpt exploded out of the circle, major domestic and foreign manufacturers rushed into the AI large-scale model track, and many industry leaders publicly declared to join the AI industry chain, which shows that the development trend of the AI field has become irresistible. With the continuous development of artificial intelligence technology, AI tools have been widely used in all walks of life, bringing more convenience to our life and work.
1. AI text Generation Tool
In addition, to chatgpt, there are many other useful text-generation tools. For example, Copy.ai can not only quickly and automatically generate high-quality, easy-to-understand text content, but also supports the generation of text content of various types and topics, including social posts, advertising copy, product descriptions, etc. Users can choose according to their needs.
2. AI Image Generation Tool
The so-called AI image generation refers to the rapid generation of various images based on text descriptions. Not only is the style diverse, but also the picture is exquisite, which fully meets the individual needs of users.
Tools like Midjourney, Stable Diffusion, and Tiamat are AI-generated tools. The emergence and upgrading of such intelligent drawing tools have caused many real-life painters to have "job anxiety". They worry that with the iterative upgrade of artificial intelligence, AI drawing tools will take away their jobs sooner or later.
This is not an unfounded worry. Director Lu Chuan said in an interview not long ago that the posters he generated in 15 seconds with AI tools were better than those produced by professional companies in a month.
3. AI Code Generation Tool
GitHub Copilot is an artificial intelligence tool jointly developed by GitHub and OpenAI. When users are using Microsoft Visual Studio, Visual Studio Code, Vim or JetBrains integrated development environment, they can automatically complete the code through GitHub Copilot.
GitHub officially stated that Copilot's features can help programmers save time reading software documentation, allowing them to quickly browse unfamiliar coding frameworks and languages in a short period.in addition to the above-mentioned AI tools, the development and progress of virtual digital technology has also brought great convenience to many industries and many users.
Digital Human Anchors become "all-round assistants"
As we all know, the current short video and live broadcast tracks are extremely hot. Individual users can generate oral broadcast videos in batches with virtual digital technology to help build personal IP and also get generous commissions by live streaming.
Merchants and enterprises can also use this emerging marketing model to enhance their popularity and increase their sales. However, the shooting and recording of real people are not only laborious and laborious, but also the budget is a headache.
As far as live broadcasting is concerned, the cost of capital required for live broadcasting is too high. Often after a live broadcast, just the salary of the anchor and operation is not a small expenditure. The rental of venues, the construction of scenes, and the purchase of lighting and photography equipment also cost a lot.
In contrast, the cost of customising a digital human anchor is relatively low. If a digital human live broadcast is used, only one computer can handle everything. In addition, the clothing of the digital human anchor and the background of the live broadcast room can also be customised according to the specific live broadcast category.
The digital human anchor can help you live broadcast 24 hours a day, and you can control the overall situation well even if you have no live broadcast experience. Such a tireless, non-emotional all-around assistant, it's hard not to be tempted!
Summary
In short, in 2023, the development of AI tools will continue to be rapid, bringing us more intelligent and efficient solutions. We can use these AI tools to help us solve various practical problems, such as improving product quality, optimising business processes, and improving user experience. Of course, these AI tools still need to be continuously optimised and improved to better adapt to changing needs and challenges.
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