In order to discover companies that are currently actively exploring AIGC technology and applications from a professional perspective, connect companies with scenarios, and promote technology implementation, Chuangye.com recently released a list of "125 AIGC Companies Worth Watching in 2023". Hewhale Technology relies on its ModelWhale The outstanding performance of the data science collaboration platform in the construction and application of large-scale meteorological models has been successfully selected into the sub-list of "model-level companies".
It is reported that this list was selected by the Entrepreneurship Research Center from 529 successfully applied companies after one month of evaluation of comprehensive performance in multiple dimensions such as investment value, technology maturity, marketing, ecological cooperation, and entrepreneurial potential. The selected 125 representative companies in each segment. This selection marks that Hewhale's brand influence, AIGC innovation strength, platform capabilities and industrial applications have entered a new stage and have received authoritative recognition.
At the beginning of the year, the emergence of the phenomenal product ChatGPT triggered a wave of AIGC, allowing the public to see the huge application potential of artificial intelligence technology in thousands of industries, and became more convinced that this is a track worthy of long-term development. The foundation of AIGC is large models . With the development of deep learning and the increase in data volume and computing power, large models have become the core of artificial intelligence research. At the same time, AIGC is also an important application scenario of large models , from simple image generation to Complex data analysis promotes the intelligent development of various industries.
As a leading data intelligence technology company in China, ModelWhale, a data science collaboration platform independently developed by Hewhale, has strong computing power scheduling capabilities and is based on the ModelOps concept to implement one-stop models from data access, model development to deployment and application, optimization and iteration. Full life cycle management provides a base for the development and application of AI large models for various industries.
Due to the high degree of idiosyncrasy of different application decision-making scenarios in business , ModelWhale can be integrated with current large and small models to build a complete business application capability pool . On the one hand, it provides platform-level support from the full life cycle process of inference testing, fine-tuning training, application development, and service deployment for large models with huge parameters and requiring extremely high computing and storage space. On the other hand, it focuses on the improvement of ModelOps product capabilities for small and medium-sized models. , reverse distillation accelerates the convergence of large models.
Since its establishment, Hewhale has carried out in-depth cooperation with many universities, scientific research institutions and other enterprises and institutions in the fields of earth science, life science, finance, communications, energy, clothing retail and other fields to help all walks of life open the closed loop of data value and realize AI-powered applications. The large meteorological model jointly constructed by Hewhale and a national scientific research institution can support the needs of meteorological business for data mining and data modeling. Through large-scale meteorological system simulation, we can more accurately understand the development laws and evolution trends of various meteorological phenomena. , so as to make predictions in advance, meet various application scenarios of meteorological business, and provide new kinetic energy for "weather intelligence brain"
The AIGC era has just begun. Hewhale will continue to upgrade product solutions and services, create a good developer ecosystem, work closely with more industry partners, develop more intelligent and efficient artificial intelligence algorithms and models, and accelerate the implementation of large models. Continue to promote technological iteration and industrial innovation and development.