DeepPavlov is a deep learning conversational AI framework designed for building end-to-end dialog systems and chatbots. It functions as an NLP model training library and a pipeline system that connects multiple natural language processing models into a single operational chain.
The framework provides a REST API model server to expose trained deep learning models as web endpoints. This allows conversational agents to be deployed as web services that handle incoming HTTP requests and return predictions.
The system covers the full lifecycle of conversational AI development, including NLP pipeline orchestration, dataset-driven model training, and performance evaluation using specific scoring metrics. It supports both interactive and batch-mode inference to generate predictions from configured models.
