Key Features of QpiAI Pro
QpiAI Pro offers a robust suite of features designed to simplify and accelerate the entire AI lifecycle. Its cutting-edge capabilities include:
End-to-End Automation: Streamline every stage of AI development-from data preparation to deployment-through automated workflows powered by AutoML.
No-Code Low-Code AI Development: Enables users to build and deploy AI models without writing a single line of code, making AI accessible to all expertise levels.
Advanced Data Annotation: Utilize state-of-the-art annotation methods including Few Shot Visual Prompting, Text Prompting using foundation models such as Grounding SAM and Grounded SAM-2, and Inference Annotation for seamless auto-annotation.
Custom and Fine-Tuned Models:
CV Models-Train and optimize models using transfer learning, pre-trained architectures, and hyperparameter tuning, tailored to specific domains and use cases.
LLM Models-Fine-tune large language models using Instruction Tuning and Preference Tuning, enabling domain-specific AI assistants and language-based applications.
Scalable Deployment: Deploy AI models on the cloud with configurable replica scaling, GPU acceleration, and rate-limited API endpoints for high-throughput workloads.
Powerful Data Visualization: Gain insights into datasets through interactive visualization tools including gallery view, image embeddings scatter plot, class distribution, uniqueness distribution, and dataset statistics.
Built-in MLOps Capabilities: Automate model monitoring, validation, and lifecycle management with integrated MLflow-powered features including training metrics, system metrics, traces, and artifacts.
Collaborative Ecosystem: Manage teams effectively with Organization and Workspace level role-based access control (RBAC)-Superadmin, Admin, Engineer, and Annotator roles-enabling seamless collaboration across projects.
Resource Optimization: Leverage AutoML for hyperparameter tuning and real-time tracking of CPU, GPU, and memory usage to ensure efficiency.
Secure and Scalable: Built with enterprise-grade security and scalability to handle diverse AI workloads across industries.