Artificial intelligence is increasingly used in all areas of activity. It transforms over time the way companies work, but also the way individuals live. From text production to sound production, many tools exist today. Overview of these tools and their main use.
Definition of generative AI
Generative AI is everything related to the use of technologies that are focused on so-called automatic learning. The goal is to be able to create all types of content thanks to a series of existing algorithms and models. These models are able to create content from a learning suite, unlike other systems, classic AIs, which analyze and classify data.
The different characteristics
As we said above, generative AI’s make it possible to generate original content, texts, images, videos and even sounds. All you have to do is make simple requests (prompts).
These AI’s can learn from a large set of data, which allows them to improve their accuracy and how they innovate to meet multiple demands.
In addition, these artificial intelligences are now able to offer increasingly personalized content and adapt to the needs of users, professionals and individuals. Requests can be formulated in a very simple way, this software is designed to understand human language and respond very smoothly to requests.
Finally, this software benefits from very regular updates, they are therefore more efficient but also increasingly undetectable depending on the case.
Tools and main uses of generative AI
The creation of texts
Today, the generation of texts and textual content is dominated by models such as GPT-4, which is among the most advanced on the market.
These softwares are used in several ways, to write articles and various content on the Internet, blogs, articles, etc. The most used tools will be Chat GPT, but also LeChat or Jasper AI. They also improve the visibility of its content on the net. These tools are also capable of generating entire scenarios, and can even power company chatbots.
In addition, it is also a question of translating and summarizing all types of documents, or writing emails. DeepL is effective for translation, Copy.ai more relevant in email writing.
The generation of images and videos
Personalized and original visuals can be created in the space of a few seconds, thanks to tools such as DALL.E in particular.
Many professionals also use Canva AI tools to invent logos and other graphic elements. Original logos are generated thanks to artificial intelligence.
For video creation, Synthesia appears to be the most used because it is fluid and easy to use. Thanks to this, a film crew becomes useless, videos are created with text.
Image retouching is a sector that is increasingly important over the years, and not only among professionals. The quality of the images, their enlargement or their restoration are tasks that can be used thanks to software like Topaz AI.
Finally, other areas are particularly popular, especially in the world of video games, where creators will use AI to create virtual and increasingly immersive worlds.
Code generation and software development
Developers now need AI to be more efficient and competitive.
A tool like Tabnine directly offers more relevant lines of code.
As for Codex, it is a tool specialized in debugging and code analysis optimization. These are tools that are also able to improve content and generate automatic corrections.
In addition, AI’s are also able to create entire programs, algorithms and code structures. For professionals, this is a real time saving. Programming is indeed much faster.
Codex is also used to translate code into several languages, so conversions are greatly facilitated. There is indeed a multitude of language and communication between developers is facilitated thanks to artificial intelligence.
Bubble AI is an intelligence that allows you to develop the entire application without having special programming skills. This type of AI is increasingly used by companies in the field of marketing. Developing applications is a way to make a company more competitive, hence the success of these AIs that are constantly developing.
The creation of music, speech synthesis
Jukebox is an AI specialized in the creation of songs in very different styles of music. Descript will allow you to create voices on pieces of music. It is also possible to use it in dubbing and in the field of voice assistant.
iZotope Neutron is a software that uses artificial intelligence to improve a piece of music as a whole. Widely used by professionals in studios, they can retouch a voice or a chord, or improve the mixing of music.
In addition, artificial intelligence can also imitate voices, which is certainly an advantage in certain areas, but which can also present some dangers.
Finally, it is possible to cite Boomy, an AI that is useful for YouTubers and those who generate podcasts to create music that is not affected by copyright.
User experience and data analysis
Companies, in order to be more efficient and improve their competitiveness, regularly use artificial intelligence tools.
For example, Einstein AI is able to give recommendations for the development of advertising campaigns. This customization will allow brands to win customers.
Companies also want to analyze their customers' data, in order to better understand them and understand purchasing behavior. H20.ai is able to identify and analyze consumer behaviors. Thus, the company can adapt its offer and gain an advantage over its competitors.
In the world of streaming, Netflix and Spotify use AI-based software to personalize content and offer customers content close to what they enjoy. This is a way to build customer loyalty.
We talked about Chat GPT above, it is also commonly used to power chatbots in companies. These are used as part of customer services, which significantly reduces the time spent by advisors responding to customer requests. Gradually, chatbots are programmed to meet an ever-increasing demand, making them more and more effective. Companies are doing everything possible today to have the best chatbot, the long-term goal is to be able to completely replace a human intervention, at any time of the day or night.
Conclusion
The so-called generative AI is constantly changing, and above all, has continued to improve over the years.
The uses are diverse, as we saw in our article. Creation of texts, modification or creation of audio content or images, various modifications, AI is an effective way to save time in work habits. Of course, many challenges remain to be met, especially in terms of ethics.
https://cloud.google.com/use-cases/generative-ai?gclsrc=aw.ds&gad_source=1&gclid=Cj0KCQjw1um-BhDtARIsABjU5x6nIaYokJpOQyWUraLvctdKo9Toc_9WJtKcR6IBXekGZEw0r30Fc_kaAqeyEALw_wcB
https://www.turing.com/resources/generative-ai-tools