Generative AI
The evolution of artificial intelligence (AI) is taking remarkable new turning points when ChatGPT causes a fever and leads to a series of AI applications, behind it is a "branch" of AI called Generative AI
Generative AI has become a popular term this year and is gaining traction, especially as Microsoft and Google are racing to launch products with technology they believe will change the nature of technology. current work or working methods.
1. What is generative AI?
Recently, AI technology has been increasingly applied in life. So do you wonder what generative AI is?
Generative AI is a field of artificial intelligence that focuses on generating new data, images, text or other objects automatically. Specifically, Generative AI mainly focuses on creating new information instead of simply classifying or predicting data like other machine learning models.
A prominent example of Generative AI is generative language models (Language Models), including OpenAI's GPT (Generative Pre-trained Transformer), of which I am an instance. These models are trained on large amounts of data and can then generate new text based on the information learned. It is capable of generating natural text, answering questions, and even creating new content.
2.The importance of generative AI
Generative AI technology is of great importance in many fields because it offers special advantages and potential. The highlights of Generative AI help improve your work process more effectively and quickly in a new way.
2.1. Data analysis
- Generative AI's raw data analysis feature offers many positive potentials in discovering and leveraging information from unprocessed data sources. By automatically extracting important information from text, numbers, images and audio, AI helps us better understand raw data sets.
- This feature is capable of identifying trends and graphs in data, helping to create a more intuitive and insightful view of the relationships between factors. It can also propose new ideas, connecting information from many different sources to create deep and multi-dimensional insights.
2.2. Create new content
- Generative AI has the ability to create diverse new content, bringing great influence in many fields. In writing, it is possible to create essays, articles, and even creative stories. For images and graphic design, AI is capable of painting, creating illustrations, and designing graphics for apps and websites.
- In the field of music, AI can compose new music and create unique sound effects. It also plays an important role in developing artistic ideas, creating digital art and unique designs.
Save time
- Generative AI is a breakthrough technology that saves significant time in the content production process. By automating the process of creating text, images, and sound, AI not only reduces complexity but also increases the speed at which new applications are produced. In fact, AI's ability to work continuously, uninterrupted by fatigue or the need to rest, means it can continuously produce content without any loss of quality.
2.3. The development of generative AI technology
- Generative AI has created many powerful models such as GANs, VAEs, and Transformer-based models such as GPT (Generative Pre-trained Transformer). This demonstrates the rapid development and profound influence of Generative AI in many different fields.
- Besides the benefits, the rapid development of Generative AI has posed major challenges in ethics, privacy protection, and the risk of using this technology to create fake information.
- The development of Generative AI is expected to continue to open up many new opportunities, especially with the combination with fields such as Meta-Learning, reinforcement learning, and copper research. Reasonable relationship between human and machine.
3. The economic potential of generative AI will greatly impact labor productivity
- The impact of generative Al on labor productivity could add trillions of dollars in value to the global economy.
- About 75% of the value that generative AI can bring is in four areas: Customer operations, marketing and sales, software engineering and R&D.
- Generative AI will have a significant impact on all industrial sectors, with banking, high-tech and life sciences among the most impacted.
- Generative Al has the ability to change the structure of work, improving the capabilities of each worker by automating some of their individual activities.
- Current AI and other technologies have the ability to automate 60-70% of today's employees' working time.
- Generative AI can significantly increase labor productivity across the economy, but also requires significantly increased investment to support workers changing careers.