On February 16, 2024, OpenAI released the leadArtificial intelligenceThe giant of the new wave, SORA, generates large models with multimodality. This model can quickly generate 60 seconds to accurately meet the user's requirements**, and once again shocked the world. This article will delve into the highlights of the multimodal generation model, the development prospects, and the performance of related companies in this field from multiple perspectives.
Multimodal generation of large models, as:Artificial intelligenceA star in the field, with the ability to process and understand text, images, audio, and other types of data. In the huge amount of parameters andDeep learningWith the support of the engine, these models are able to be based on:User needsGenerate content efficiently. From Google Gemini to Adobe Firefly2 to OpenAI's Sora, there are manyTechnologyGiants have successively invested in the field of multi-modal generation, and the effect of multi-modal generation of large models is prominent. Using the diffusion model and the Transformer engine, the SORA model shows impressive generative effects, reflecting:Deep learningThe model's understanding of the law and its ability to simulate.
The SORA model has been continuously trained on a large amount of data to simulate the real world with amazing regularity. However, the complex and ever-changing real world brings challenges to model simulation, and challenges remain. But it is foreseeable that models that are gradually approaching understanding and simulating the real world will be able to achieve generalizationArtificial intelligenceAGI closes the distance.
ProductionThe market is huge, including advertising, education and training, entertainment and other fieldsMarket sizeHuge and growing. GlobalProductionMarket sizeIt has exceeded 100 billion US dollars, and China's market is also showing a rapid growth trend. Generative models as emerging things, itsBusinessThe prospect of transformation has attracted much attention. In addition to the ** effect,ProductionCost is a key factor. For the domestic market, the willingness of ordinary users to pay is low, the demand of enterprises is personalized, and the demand for customized scenarios is huge. Adaptation is differentUser needsCreating a personalized generation solution is the way forward for enterprises.
In recent years, many domestic companies have set foot in the field of large-scale models. Take A-share listed companies as an exampleWondershare Technology, Insai Group, DanghongTechnologyand so on, all of which have sent out ** generation messages. WhileWondershare TechnologyAs a company mainly engaged in creative software products, its Tianmu model has multi-modal content generation capabilities, and its performance has grown significantly in recent years. Through high R&D investment and innovative technology, the company has achieved long-term profitable growth and demonstrated a solid competitive advantage. In addition,Wondershare TechnologyWith the wide selection of natural selection,HuaweiCloud and other strategic cooperation and expansionMany**Large-scale model application scenarios to stay ahead of the curve.
Multimodal generation of large models in technology,BusinessThere is great potential in both the outlook and the industry market. In the future, with the continuous advancement of technology andBusinessAs the model becomes more and more perfect, multimodal** generative models will play an increasingly important role in various fields. It is worth noting that withArtificial intelligenceWith the rapid development of the industry, it may be easier for large companies in the industry to achieve profitability, and continue to pay attention to the technological process of the industry and the development path of the enterpriseInvestmentsThe inevitable choice of the people.