Before the advent of AI, designers typically relied on active research and passive input to gather product-related information. This process involves a lot of data sifting, information integration and brain processing to extract valuable design elements and inspiration. Designers often learn from existing design cases, through the way of piecing together elements, combined with their own creativity and professional knowledge, to produce new design ideas and inspiration.
In this process, individual deducing keywords and actively searching for relevant information on various platforms has become an important way to obtain inspiration. Designers will choose relevant keywords to search based on their own experience and intuition, so as to find materials and sources of inspiration related to the design task. Although this method is time-consuming and laborious, it can ensure that the information obtained by designers is highly relevant and targeted.
However, with the continuous development of AI technology, the way designers work is undergoing profound changes. AI technology can directly perform deduction based on existing keywords to generate images and materials related to design tasks. This approach not only greatly improves the efficiency of designers, but also provides them with more diverse design elements and sources of inspiration.
With the help of AI technology, designers can more quickly obtain key materials related to design tasks, so as to focus more on design innovation and optimization. AI technology can also intelligently recommend relevant design elements and styles according to the needs and preferences of designers, providing designers with more creative inspiration.
At the same time, AI technology can also intelligently analyze and evaluate designers' design works, and provide targeted improvement suggestions. This intelligent feedback mechanism helps designers to examine their design works more objectively, find the shortcomings and improve the space.
In short, the emergence of AI technology provides designers with a new way of working, enabling them to obtain design inspiration and materials more efficiently and conveniently. With the help of AI technology, designers can focus more on design innovation and optimization, and promote the rapid advancement of design tasks. However, we should also realize that AI technology is only a tool, and the real creativity and inspiration still comes from the designers' own quality and professional knowledge. Therefore, we should make full use of AI technology at the same time, constantly improve their professional quality and innovation ability.
Before the advent of AI, designers typically relied on active research and passive input to gather product-related information. This process involves a lot of data sifting, information integration and brain processing to extract valuable design elements and inspiration. Designers often learn from existing design cases, through the way of piecing together elements, combined with their own creativity and professional knowledge, to produce new design ideas and inspiration.
In this process, individual deducing keywords and actively searching for relevant information on various platforms has become an important way to obtain inspiration. Designers will choose relevant keywords to search based on their own experience and intuition, so as to find materials and sources of inspiration related to the design task. Although this method is time-consuming and laborious, it can ensure that the information obtained by designers is highly relevant and targeted.
However, with the continuous development of AI technology, the way designers work is undergoing profound changes. AI technology can directly perform deduction based on existing keywords to generate images and materials related to design tasks. This approach not only greatly improves the efficiency of designers, but also provides them with more diverse design elements and sources of inspiration.
With the help of AI technology, designers can more quickly obtain key materials related to design tasks, so as to focus more on design innovation and optimization. AI technology can also intelligently recommend relevant design elements and styles according to the needs and preferences of designers, providing designers with more creative inspiration.
At the same time, AI technology can also intelligently analyze and evaluate designers' design works, and provide targeted improvement suggestions. This intelligent feedback mechanism helps designers to examine their design works more objectively, find the shortcomings and improve the space.
In short, the emergence of AI technology provides designers with a new way of working, enabling them to obtain design inspiration and materials more efficiently and conveniently. With the help of AI technology, designers can focus more on design innovation and optimization, and promote the rapid advancement of design tasks. However, we should also realize that AI technology is only a tool, and the real creativity and inspiration still comes from the designers' own quality and professional knowledge. Therefore, we should make full use of AI technology at the same time, constantly improve their professional quality and innovation ability.

Avant l'avènement de l'intelligence artificielle (IA), les designers dépendaient généralement de recherches actives et d'informations passivement reçues pour collecter des données sur les produits. Ce processus impliquait une grande quantité de tri de données, d'intégration d'informations et de traitement cérébral pour extraire des éléments de design et des idées inspirantes de valeur. Les designers empruntaient souvent à des cas de design existants, en assemblant des éléments et en les combinant avec leur propre créativité et leurs connaissances professionnelles pour générer nouvelles idées et inspirations de design.

Dans ce processus, la recherche active d'informations sur divers plateformes à l'aide de mots-clés déduits individuellement était une méthode importante d'acquisition d'inspiration. Les designers sélectionnaient des mots-clés pertinents basés sur leur expérience et leur intuition pour effectuer des recherches et trouver des sources d'inspiration et de matériel liés à leur tâche de design. Bien que cette méthode soit chronophage, elle garantissait aux designers d'obtenir des informations hautement pertinentes et ciblées.

Cependant, avec le développement continu de l'IA, le mode de travail des designers est en profonde mutation. L'IA peut désormais déduire directement des images et du matériel liés à la tâche de design à partir de mots-clés existants. Cette méthode non seulement améliore considérablement l'efficacité des designers, mais leur fournit également une plus grande diversité d'éléments de design et de sources d'inspiration.

Avec l'aide de l'IA, les designers peuvent obtenir plus rapidement le matériel clé lié à leur tâche de design, leur permettant de se concentrer davantage sur l'innovation et l'optimisation du design. L'IA peut également recommander intelligemment des éléments et des styles de design en fonction des besoins et des préférences des designers, leur offrant davantage d'idées créatives.

En outre, l'IA peut analyser et évaluer intelligemment les œuvres de design des designers, fournissant des suggestions d'amélioration ciblées. Ce mécanisme de retour intelligent aide les designers à examiner plus objectivement leurs propres œuvres, à identifier leurs défauts et à trouver des marges d'amélioration.

En résumé, l'avènement de l'IA a offert aux designers un nouveau mode de travail, leur permettant d'acquérir plus efficacement et plus facilement des idées et du matériel de design. Avec l'aide de l'IA, les designers peuvent se concentrer davantage sur l'innovation et l'optimisation du design, accélérant la progression des tâches de design. Cependant, nous devrions également être conscients que l'IA n'est qu'un outil et que la vraie créativité et inspiration proviennent toujours de la compétence et des connaissances professionnelles des designers eux-mêmes. Nous devrions donc, tout en tirant pleinement parti de l'IA, continuer à améliorer notre compétence professionnelle et notre capacité d'innovation.