
rhinoceros horn, reputed confer telepathic powersLarge ModelIt is a large model of industry-level artificial intelligence launched by Jingdong, which has attracted widespread attention in the field of artificial intelligence with its unique characteristics and wide range of application scenarios.
One,Positioning and characteristics
- industry original: The capabilities of the Speech Rhinoceros Big Model originate from Jingdong's high-quality industrial scenarios and data, and have stronger industrial attributes. This feature makes it able to deeply solve practical problems in retail, logistics, finance, health and other industries.
- value-driven: The Speech Rhino Big Model uses cutting-edge algorithms to increase the speed of reasoning and reduce costs, thus increasing the value of the model's applications. This enables it to provide more efficient and cost-effective intelligent services to organizations.
- openness and synergy: Based on Jingdong's self-developed vector database and leading computational clusters, the iteration of the speech rhino large model is more efficient. In addition, it also provides a rich industry knowledge base and training and optimization tools to support enterprises with a small amount of data fine-tuning customer-specific models.
Two,technical architecture
The SpeechRhinoceros Grand Model has a four-layer system:
- base layer: Provides three types of cloud computing deployment solutions: public cloud, proprietary cloud, and hybrid cloud to meet the needs of different enterprises.
- model layer: With 70% generic domain data and 30% Jingdong's own industrial data, code data, and multilingual data as the data base, a distributed training framework is used to provide long-term memory for the large model through Jingdong's self-developed vector database Vearch.
- MaaS (Model as a Service)Based on the underlying capabilities decoupled from the large model of Rhinoceros, Rhinoceros AI development computing platform is built to provide enterprises with more than a hundred kinds of training and reasoning optimization tools to support the efficient development of large models.
- SaaS (Software as a Service): Focusing on the high availability of big models, it integrates big model capabilities into Jingdong's mature business products such as retail, finance, and health to realize out-of-the-box usage.
Three,application scenario
The Speech Rhino Large model has been successfully applied in a number of fields, such as:
- retail industry: Intelligent emotional customer service, whole-link precision marketing, C2M direction customization, etc.
- Finance/Insurance: Intelligent Investment Research, Intelligent Investment Advisor, Risk Management, etc.
- Coworking area: Meeting note writing, data table generation, presentation creation, etc.
- Urban/government sector: Governmental consultation, governmental services, etc.
- Transportation: Customer counseling services, traffic flow forecasting, etc.
Four,Major events and developments
- July 13, 2023: At the Jingdong Global Technology Explorers Conference and Jingdong Cloud Summit, the Speech Rhinoceros Big Model was officially launched.
- September 26, 2023: At the Jingdong Xi'an City Conference, the speech rhino AI development computing platform was released.
- AwardsThe team won the Scientific and Technological Progress Award of Wu Wenjun Artificial Intelligence Science and Technology Award for "Key Technology of Task-based Intelligent Dialogue and Interaction and Large-scale Industrial Application".
Five,social impact
The launch of the speech rhinoceros big model not only improves Jingdong's competitiveness in the field of artificial intelligence, but also promotes the development of the entire industry. It provides smarter and more efficient services to enterprises by integrating industrial data and cutting-edge technologies, helping traditional enterprises realize digital transformation. At the same time, the wide application of the Yan Rhino Big Model has also promoted the popularization and development of artificial intelligence technology in various fields.
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