QpiAI Pro Platform Pipeline

The QpiAI Pro pipeline provides an integrated workflow for accelerating the development, validation, and deployment of AI models:

• Knowledge Discovery: Leverage Generative AI to extract meaningful insights from large datasets, enabling informed decision-making at the start of the AI lifecycle.
• Data Annotation: Leverage Gen-AI-based Automate image annotation tools which use text prompts or advanced embeddings-based few-shot vision prompting, saving time and ensuring high-quality labeled data.
• Dataset Health Check: Utilize interactive visualization tools for efficient data preparation, analysis, and train-test splitting, ensuring dataset readiness for modeling.
• Tag & Submit: Enrich datasets with domain and sub-domain metadata for precise model training and tagging, optimizing the AI workflow.
• Generate AI Model: Effortlessly create models with no-code workflows using transfer learning, pre-trained base models, and fine-tuning techniques, including LLM fine-tuning. AutoML handles hyperparameter optimization, ensuring optimal performance tailored to specific tasks or domains.
• Model Validation Framework: Analyze model performance through automated test cases, identifying and addressing gaps for enhanced reliability. (coming soon)
• Deploy AI Model: Seamlessly deploy models across cloud, data centers, and edge devices, ensuring scalability and real-time inference capabilities. (coming soon)

💡This pipeline ensures a streamlined, efficient, and scalable process for developing & deploying impactful AI solutions tailored to diverse applications.