In today's digital transformation wave, enterprises face unprecedented challenges and opportunities. To stand out in fierce market competition, businesses need to leverage advanced technologies to enhance their intelligence levels. Web-Embodied-Intelligence (WEI) offers a brand-new solution as an innovative intelligent architecture. This article will provide an in-depth introduction to its overall technical architecture and the functions and features of its various components.
1. Overall Technical Architecture
The architecture of Web-Embodied-Intelligence consists of four core components that work together: the Brain, the Cerebellum, the Projector, and the Client-Llama3 70B Enterprise Private Model. Each of these components has a specific role, yet they collaborate closely to achieve complex enterprise intelligence tasks.
1.1 Brain
Function:
The Brain is the core thinking unit of Web-Embodied-Intelligence, responsible for deep reasoning and complex task planning. It can autonomously formulate strategies and call upon the Client-Llama3 70B Enterprise Private Model when specific enterprise knowledge is required. The Brain can also act as an "autonomous agent" to make decisions and execute tasks in complex environments.
Features:
- Based on post-training and reinforcement learning of LBAI-Embodied-llama3 70B, it has strong learning and adaptation capabilities.
- It is responsible for medium- and long-term strategic thinking and complex decision-making, simulating the thought processes of senior managers to provide strategic guidance for enterprises.
1.2 Cerebellum
Function:
The Cerebellum is the interaction and scheduling center of Web-Embodied-Intelligence. It is mainly responsible for processing user interactions (voice/text input), judging and assigning tasks, and scheduling the Projector to display results or perform visualization operations. It can quickly determine the complexity of user requests and assign them to the Brain or autonomous agent for processing, while coordinating the Projector to complete the visualization of tasks.
Features:
- Highly responsive in real time, it can make preliminary judgments on user input and assign tasks within seconds.
- It can quickly obtain information from internal or external enterprise APIs to ensure the timeliness and accuracy of information.
- It is responsible for managing multi-turn dialogues, temporary dialogue box functions, and function calls, effectively managing complex interaction processes.
1.3 Projector
Function:
The Projector is the "embodied action" and result display unit of Web-Embodied-Intelligence. It is responsible for translating the decisions of the Brain or Cerebellum into specific actions or visualization results, including digital interface rendering and real-time voice output. In future physical robot scenarios, the Projector can also act as a physical actuator to interact directly with the physical environment.
Features:
- Carried by web or hardware devices, it can flexibly execute the visualization or physical instructions passed from the Cerebellum.
- It provides feedback on execution results or environmental perception information to the Cerebellum or Brain for subsequent decision-making.
1.4 Client-Llama3 70B Enterprise Private Model
Function:
The Client-Llama3 70B Enterprise Private Model is the knowledge core of Web-Embodied-Intelligence. It injects enterprise-specific, high-value private data into the large model, enabling it to deeply understand the enterprise's business, operational details, and industry experience. When specific knowledge or unique business logic is required, the Brain or autonomous agent will call upon this model to obtain precise knowledge support.
Features:
- Custom-trained through the post-training services of LBAI Technology Company to accurately meet the unique needs of enterprises.
- Ensures data security and private model deployment, eliminating the risk of data leakage and providing secure and reliable knowledge support for enterprises.
2. Conclusion
The overall technical architecture of Web-Embodied-Intelligence, through the collaborative work of the Brain, Cerebellum, Projector, and Enterprise Private Model, offers a powerful intelligent solution for enterprises. It can not only achieve deep reasoning and complex task planning but also quickly respond to user interactions and provide precise knowledge support. This innovative architecture provides a strong technical guarantee for enterprises to seize market opportunities in the digital transformation process.