Multi modal large model machine learning platform

A one-stop integrated development and operation platform that integrates automation, visualization, process driven, cross platform, and multimodal features. It provides full lifecycle management functions for model training, prediction, evaluation, and deployment, continuous integration, continuous delivery, and continuous deployment. Based on a distributed computing framework and combined with multiple classic algorithms, it provides AI pipeline visualization orchestration, which can be applied to scenarios such as intelligent robots, intelligent driving cars, data intelligence, metaverse modeling, and smart education

Large Language Models and Natural Language Processing

Based on AI pipeline driver, embedded with multiple classic algorithms, integrating natural language processing and deep semantic computing, compatible with classic natural language processing models and large language models, supporting multilingual, multimodal, and diversified text data processing using modular plugin architecture, supporting elastic expansion, and can flexibly and conveniently build, deploy, and maintain development applications, providing users with comprehensive and personalized text analysis and application services, suitable for intelligent robots, intelligent search, virtual digital humans, intelligent customer service and other fields

Intelligent dialogue robot

Based on AI pipeline driving, integrating key technologies such as natural language, intent recognition, auditory intelligence, and visual intelligence, driven by artificial intelligence and big data, supporting intelligent interaction in various ways such as text, language, images, and videos, integrating multi-source information, accurately identifying user intent, and achieving a smarter, more realistic, and richer human-computer interaction experience. It can be applied in fields such as intelligent robots, organizational efficiency automation, intelligent customer service, AIoT

Intelligent positioning and navigation engine

Integrating LiDAR, vision IMU、 Multi sensor data such as wheel odometry provides more comprehensive environmental perception, more accurate and efficient positioning, and supports the generation of multiple types of maps. Paired with a multi-level spatial model, it effectively enhances the interaction and fusion of information, and can be applied to high-precision positioning and navigation AR/VR、 Industrial vision and other scenes

Intelligent motion control kit

Adopting a platform based, framework based, and plugin based architecture, integrating elements such as perception, positioning and navigation, and motion control to freely arrange components, introducing a behavior tree mechanism, and combining controller plugins to achieve complex robot behaviors such as path tracking, target following, and avoiding dynamic obstacles. At the same time, it supports a self recovery mechanism for service lifecycle management in the event of a failure, The motion states of major robot types such as controllable integrity constrained robots, differential drive robots, four-wheel eight drive robots

Multi modal large model machine learning platform

Large Language Models and Natural Language Processing

Intelligent dialogue robot

Intelligent positioning and navigation engine

Intelligent motion control kit

Robot Mobile Platform

General basic part

Robot Intelligent Cloud

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