2025年07月25日
2025年07月25日配信
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Generative AI is an innovative technology that uses artificial intelligence (AI) to generate new content through data analysis and learning. It supports human work efficiency and creative activities in a variety of formats, including text and images, and is bringing innovation to various areas of business and society. In particular, ChatGPT, which will emerge at the end of 2022, is said to be the fastest and biggest change in human history, and is attracting attention not only from researchers and developers but also from the general public.
What is Generative AI?
Generative AI, also called generative AI, is a branch of machine learning that has the ability to generate new data from given data or patterns.
It creates new content based on data in a variety of formats, including text, images, and audio. Generative AI has the ability to learn large amounts of data, understand its patterns and characteristics, and create new content similar to it.
Mechanism and Features of Generative AI
Generative AI, which has the ability to generate text and images, primarily utilizes deep learning. Deep learning is a branch of machine learning that allows for the flexible creation of approximate functions (models) that connect inputs and outputs, and computers that learn patterns from data using multi-layered neural networks to generate outputs.
ChatGPT, for example, uses this flexibility in an algorithm that produces natural sentences, allowing it to generate human-like responses to user inputs and instructions.
Types of Generative AI and What Generative AI Can Generate
Generative AI can generate a wide variety of data, including image generation, text generation, and voice generation.
Image generation AIs have the ability to generate new images based on specified conditions and have attracted attention in the design and creative industries.
Text generation AI, represented by ChatGPT, automatically generates sentences from given text data and information, and is applied to applications that produce natural text, from writing articles to assisting in the creation of conversations and question-answering.
In addition, speech generation AI is also used to convert text into speech for use in the fields of voice guidance and education, and to contribute to the evolution of speech synthesis technology.
These allow people to make time to devote to the creative part of their lives and open up new possibilities for expression.
Usage and Applications of Text Generation AI
Among these generative AIs, sentence generation AI is attracting the most attention. To take an example of its use in the enterprise, customer support can utilize chatbots to respond to FAQs and general customer inquiries. In foreign language translation, it can help translate documents and facilitate communication. Contract drafting can help streamline the work of legal departments by assisting in drafting contracts, privacy policies, and other documents. Other benefits include content creation, report generation, and use in program coding, which can improve productivity, reduce costs, and increase customer satisfaction, among many others.
The Breakthrough of ChatGPT
ChatGPT, which has been gaining attention since its introduction in late 2022, is one of the first text-generating AI chat-type services. It excels in its ability to generate natural, human-made text responses to users' questions and texts.
ChatGPT utilizes natural language processing technology to generate human-like sentences. Its feature is that it not only constructs sentences using appropriate grammar and vocabulary, but also forms the content from given information in a rational manner to some extent. As a result, it is used for a wide variety of purposes in the business field, such as customer service, content generation, and information gathering.
Businesses and local governments are also increasingly using ChatGPT. In addition to being used by companies for customer support to support communication with customers, ChatGPT is also contributing to business efficiency by automatically generating FAQs and collecting information on specified topics. Some local governments have also embarked on the use of ChatGPT, contributing to improving the communication experience and efficiency of government administration by providing information to citizens and using it to respond to inquiries.
By identifying the capabilities of ChatGPT and utilizing it appropriately, it is expected to contribute to a wide range of business aspects.
Innovation and Impact of Generative AI
The evolution of generative AI has led to incredible innovations in a wide variety of fields. Generative AI is gaining attention in a wide range of applications, including research, marketing, and creative.
In marketing, generative AI is helping to understand customer needs and suggest effective advertisements and campaigns. By automatically generating product descriptions and advertisements, it is possible to send messages that are appropriate for the target audience.
In the creative field, generative AI is also opening up new possibilities in art and design. In creative activities such as painting and music, generative AI supports the creative process by providing new ideas and styles. It is also used as a creative tool for individuals, expanding the range of creative expression.
Dangers of and ways to face generative AI
The emergence of generative AI has streamlined sophisticated information processing and creative work that previously could only be done by humans, and has expanded the potential for new ideas and discoveries. However, as the technology evolves, ethical issues and privacy concerns are also emerging.
A cautious approach is needed in advancing the use of generative AI. For example, data automatically generated by algorithms to produce natural sentences may not be truthful in content, even if the sentences are natural, and this can lead to a loss of credibility. There is also a potential risk of malicious use and invasion of privacy. Especially when used by companies, it is important to establish ethical guidelines and strengthen monitoring systems.
Both companies and individuals are expected to fully understand the risks while at the same time anticipating the potential of generative AI, and to maintain an appropriate balance in its use.
AI that generates hypotheses - FRONTEO's KIBIT supports drug discovery
FRONTEO's self-developed AI "KIBIT" is a natural language processing AI. It has been assisting experts in various fields with high accuracy even with a small amount of supervised data, and one of its features is its ability to generate hypotheses.
One of the most important processes in FRONTEO's active drug discovery support services is the search for novel target molecules and the generation of hypotheses for them. KIBIT is able to find highly novel target molecules that could not be found by existing approaches. However, having a list of highly novel target molecules is not enough; hypothesis generation, or inference of disease mechanisms, is essential to advance the drug discovery process.
To this end, FRONTEO has created the "Drug Discovery AI Factory," an AI drug discovery support platform specializing in hypothesis generation, where researchers with expertise in AI and drug discovery use KIBIT to search for highly probable target molecules and generate and propose hypotheses for them.
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