In recent years, with the continuous progress and development of domestic AI technology, the AI large-scale model market has also begun to continue to heat up, showing a trend of explosive growth. Thanks to this, major domestic Internet companies, technology giants, and start-ups have also established large-scale model teams and developed large-scale model business lines to accelerate the development and commercialization of large-scale models.
At present, the commercial application prospects of large models are very broad, and it is expected to bring more commercial value to various fields. However, due to the particularity of the industry, the spring breeze of large-scale models has first blown into the field of content creation, and online reading platforms represented by China Literature and Palm Reading have also begun to compete to seize the opportunity to land large-scale models.
Actively Embrace Mockups
Large-scale models are favored by many companies for their powerful machine learning capabilities and broad commercial application prospects, but there is no successful precedent in the vertical field of online reading for the time being. Wen Bian could only cross the river by feeling the stones and began to explore how to effectively play the role of AIGC in content creation. The reason why online reading platforms actively embrace AIGC is self-evident.
First of all, AIGC can change the content creation method and promote innovation in the content field, thereby improving the creation efficiency of the online reading platform. AIGC can convert text into audio, pictures, and videos faster, helping creators solve some repetitive and consuming tasks, so that they can better meet the needs of users and improve the efficiency of content production. In addition, AIGC can also provide content creators with more creative ideas and possibilities, enabling them to achieve innovative and personalized content output, thereby helping online reading platforms to achieve more accurate marketing and user services.
Secondly, the online reading platform has rich multi-format digital cultural content, which can support the landing application of multi-modal AIGC products. Since it has been rooted in the field of Internet digital reading services for many years, whether it is palm reading or reading articles, its business branches have reached multiple levels such as text, audio, short drama, animation, film and television, etc. It can be said that it has accumulated a lot. Rich digital content capabilities, and resources for creators to continue to be creative. And this complete digital content ecology can just provide rich application scenarios for the landing of AIGC products.
Finally, AIGC can reshape the productivity of online reading platforms and further release the commercial value and influence of platform content. From a commercial point of view, the value of AIGC's multimodal products cannot be underestimated. With the evolution of large models to the pre-training of multi-modal data combining images, texts, and videos, large models can be used as tools to speed up the production of comics, animations, movies, and games, and improve the production efficiency of IP derivatives. It shortens the development time and communication cost of web text IP. Under the new trend of multi-modal fusion content production, AIGC will also greatly expand the IP monetization channel and improve the IP monetization efficiency.
Palm reading "Learn from strengths to make up for weaknesses"
In the current digital age, content creation has become the most powerful source of influence and traffic, both for platforms and individuals. Therefore, in order to meet the needs of more users and gain more user attention, Reader has also begun to actively explore the application of AI technology in the field of content generation, and has achieved remarkable results. It is understood that not long ago, Zhangyue announced the official access to the mainstream AI model in the market, and applied it to the Prompt Engineering work of content generation, which further improved the efficiency and quality of content creation.
Firstly, the large model accessed by Palm Reader has a large amount of high-quality data and computing resources, which can help it generate smooth and coherent content efficiently and quickly. General-purpose AI large models rely on a large amount of data and computing resources to achieve high-precision performance after long-term training and reasoning. Therefore, the AI large model can help the content creators in the palm to quickly generate various articles, short video scripts, advertising copy, etc. by training a massive corpus. In other words, the access to AI large models can provide creators with rich inspiration and creative direction, thereby speeding up the speed of content generation and improving the quality of content generation.
Secondly, the large model accessed by the app has strong expressiveness and wide applicability, which can help it handle various complex tasks and needs better and faster. The general-purpose AI large model has super-large-scale model parameters and massive training data, which not only enables it to be applied to more different application scenarios, but also has more independent learning and optimization capabilities, and can handle more Generate natural and fluent dialogue and text for complex natural language tasks. For palm reading, the access of this innovative method can enable creators to more efficiently create content that meets user needs, thereby enhancing readers' reading experience.
Thirdly, the large model accessed by Palm Reading has strong scene reuse and optimization and innovation capabilities, which can help it continuously improve the accuracy and generalization capabilities of the content. With the continuous rapid expansion of the data volume of large models, large models can also be reused in different industries, which can not only shorten the development cycle of palm reading and reduce the required manpower input, but also can be based on the reasoning, common sense and writing ability of large models, Get a better application effect. Moreover, by learning and summarizing from a large amount of multi-type scene data, the large model can also achieve continuous iteration with accumulated experience, thereby helping Palm Reading to continuously innovate, optimize and upgrade the content.
Read the article "Self-sufficiency"
Unlike Zhangyue, which is connected to the mainstream AI large-scale models in the market, China Literature has created a dedicated large-scale model in the vertical field of online texts. According to relevant reports, not long ago, China Literature officially released the first large-scale model of the domestic online literature industry, "Yuewen Miaobi", and an application product based on this large model, "Writer Assistant Miaobi Version". The path chosen by China Reading is completely different from the large-scale model of palm reading, and it also brings a brand new experience to its own platform, content creators and readers.
One is that Miaobi’s large model can better “understand” web articles, and its expertise in the field of web article content production can help Yuewen to form a differentiated advantage. At present, various AI large-scale models can be described as emerging one after another. Unlike other large-scale models that do not understand and have no knowledge of Internet texts, the Miaobi large-scale model is called "the large-scale model that understands Internet texts best". The Wenda model and its application also have a better understanding of web literature knowledge, and are more familiar with the setting of stories, characters, and worldviews of various web literature works. Give more detailed, accurate and constructive answers.
The second is that the Miaobi model better "understands" writers, can hit the pain points of writers, and can not only provide creative motivation for writers who read articles, but also improve their creative efficiency. From the perspective of auxiliary creation, the Miaobi model can provide services such as creation assistance, knowledge services, and multi-modal transformation, bringing infinite possibilities to authors. For web creators, the Writer's Assistant Miaobi Edition can help them in terms of world view setting, creative inspiration, professional knowledge, etc., and help them reduce a lot of redundant and boring search and sorting tasks in the initial stage of content creation. Make it possible to focus precious time and energy on polishing the creativity.
The third is that the Miaobi model is more "favorable" to IP incubation, can create a more efficient and agile IP transformation path, and open up a broader imagination space for China Literature at the IP ecological level. It is understood that in terms of IP incubation, China Literature's multi-modal large platform will no longer be just IP incubation at the text level, but will also comprehensively explore and improve three-dimensional content including audio, comics, animation, derivatives, games, film and television, etc. Chemical IP system. In addition to the multiple forms, the Miaobi model will also build a new IP upstream and downstream integrated ecosystem, improve the production capacity and efficiency of IP development, and open up space for the realization of multi-modal IP experience and integrated IP operation.
Challenge "Exactly the Same"
While AIGC pressed the accelerator key for the entire online reading industry, it also brought some challenges and tests. Although actively exploring the integration with AIGC to help palm reading and reading to a greater extent give play to their own advantages, the two will inevitably face various industry challenges. Therefore, AIGC is both an opportunity and a risk for readers who are connected to mainstream AI large-scale models, or for readers who are the first to create a large-scale online model.
In fact, it is not difficult to see from the previous article that although both palm reading and reading use AIGC to empower content creation and IP development, they have chosen two completely different routes. However, it is worth noting that even though the AIGC layouts of palm reading and reading are different, the challenges faced by both parties are exactly the same.
On the one hand, the training of any large model requires a large amount of data and computing resources, which will place higher requirements on the technology and resources of the platform. As we all know, large models require a large amount of computing resources for training and reasoning, and with the continuous accumulation of data, a large number of parameters require a large amount of storage space for storage and transmission. Therefore, whether it is a general-purpose large model accessed by Palm Reading or a dedicated large-scale model developed by Reading, there are great requirements for algorithms, computing power, and data storage space, which means high training costs. The input of human, material and financial resources is undoubtedly not a huge challenge for enterprises.
On the other hand, there is still a lot of room for improvement in the quality of AIGC output, and it cannot really meet the high-quality needs of the platform and readers for the time being. AIGC technology, which combines a large amount of training data and algorithm models, can help creators improve writing efficiency, but it may also be affected by factors such as data volume and model algorithms when generating novels, resulting in unstable quality of generated content. Moreover, AIGC does not have human emotions and thinking abilities, so it will lack the creativity and inspiration of human writers, which may also lead to low quality or lack of uniqueness in the generated works, and it is difficult to truly meet the creators and users demand.
All in all, even though the large-scale model market is already very hot, it still needs further improvement and improvement in terms of technological innovation, data security, marketing, and sound laws and regulations. Although I believe that with the continuous expansion of the large-scale model market in the future, more unicorn companies will emerge to promote faster, better and more stable development of the industry, but at the moment when Palm Reading and Reading are actively embracing large-scale models However, if the two want to achieve greater value goals, they still need to work harder.