Answering a series of related questions in order based on a given picture —— this model used to to train children’s comprehension and expression abilities is called visual dialogue in the field of artificial intelligence. Although these questions may seem extremely basic from our current perspective, they are crucial for the growth process of both humans and AI.
JUNLALA, an AI company based in Silicon Valley, was recently awarded the Visual Dialog Outstanding Technical Contribution Award. This prestigious honor is significant in the international AI industry as it recognizes JUNLALA’s breakthroughs and contributions in image technology.
Visual Dialogue: The Wisdom Behind Generative AI
Generative AI is a technology that cannot be ignored when it comes to artificial intelligence. In the past year, generative AI has gained global popularity through ChatGPT and widespread use of image generation software like Midjourney. It focuses on the value of “creation” and shows people more possibilities for the future.
This technology uses existing text, audio files or images to create new content. It is mainly applied in the generation of text, images, codes, gaming assets, advertising content and art design. Despite its somewhat professional and obscure definition, many generative AI products are now well-known.
For instance, DALL·E-2 and Stable Diffusion in image generation, ChatGPT and AutoGPT in natural language processing, and Copilot in code generation are some examples of popular generative AI products available today.
However, regardless of the field or product, the fusion of computer vision and natural language is essential for achieving deep development. Just as the information transformation process in humans of obtaining visual information, understanding it and expressing in language, if “seeing” and “expressing” can only act separately instead of complementing each other in the field of artificial intelligence, then the intelligent future we envision will remain a utopia.
Visual dialogue is such a technology that accelerates the maturity of these products by combining natural language with visual information so that computers can understand images and answer questions posed by humans. This technology enables us to perform more practical operations on these products such as providing feedback on images generated by Stable Diffusion for modification purposes, discussing nature, objects, and social phenomena in photos with ChatGPT, or giving Copilot a flowchart or UI design diagram for it to complete code writing.
In the future, generative AI will become a basic technology in mass adoption in various fields. However, this cannot be achieved without developing visual dialogue technology. JUNLALA’s achievement in winning an Visual Dialog Outstanding Technical Contribution Award shows that they have made significant efforts in promoting technological development in this field, which has important implications for the entire artificial intelligence industry.
7-year Accumulation: JUNLALA Achieves New Breakthroughs
JUNLALA is a silent AI dedicator that has been researching image processing technology for the past seven years. They have made significant breakthroughs in this field, which has given them an advantage over their competitors. Their product, JunLaLa AI, has surpassed popular products such as Midjourney, Stable Diffusion and AutoGPT. Unlike these products that can only handle either image generation or text dialogue separately, JunLaLa AI is a more advanced application of both abilities at the same time.
JUNLALA has built multiple drawing-specific models upon the open-source Stable Diffusion base model, with simplified interaction process. Users only need simple text descriptions and a few control options to quickly draw AI images with reduced barriers to entry. JUNLALA also offers customized training to meet more professional drawing needs. JunLaLa AI currently supports three themed creation models: characters, landscapes and art creation models, compatible with various styles such as photography, flat painting and comics.
JUNLALA has created an AI model with professional domain knowledge by collecting data from multiple specialized fields and conducting fine-tuned training through self-organizing language, based on the Open AI base model. This unique feature allows users to communicate with multiple “experts” at any time and obtain professional advice that is currently not achievable by most text generation products in the market.
Over the past few years, JUNLALA has invested tens of millions of dollars annually in improving machine learning algorithms, deep neural networks, natural language processing, and image recognition technologies. So far, JUNLALA has successfully developed more than 30 algorithm programs for internal testing and made significant breakthroughs in LLMs. In 2020 and 2022 respectively, it won two heavyweight awards: Silicon Valley Artificial Intelligence Technology Innovation Award and Top 10 Outstanding AI Leaders in the United States.
As generative AI embraces the trend of rapid technological commercialization, related industrial ecology will gradually improve with the implementation of massive applications. Under this trend, it is expected that generative AI’s production capacity will soon meet people’s expectations. Companies like JUNLALA with strong technical strength, dedicated research spirit, emphasis on user experience will become important leaders in the market as well as major drivers of industry innovation leading humanity towards a better future.
As generative AI rapidly becomes commercialized, its related industrial ecology will gradually improve through the implementation of massive applications. It is expected that generative AI’s production capacity will soon meet people’s expectations under this trend. Companies such as JUNLALA, with strong technical expertise, a dedicated research spirit, and a focus on user experience, are poised to become important market leaders and major drivers of industry innovation that lead humanity towards a better future.
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