ucsd-ai4h/medical-dialogue-system 的主要功能包括：Conversational AI, Domain Specific NLP。
ucsd-ai4h/medical-dialogue-system 的开源替代品包括： toyhom/chinese-medical-dialogue-data — Chinese medical dialogue data 中文医疗对话数据集. deepmipt/deeppavlov — DeepPavlov is a deep learning conversational AI framework designed for building end-to-end dialog systems and… microsoft/call-center-ai — This project is an AI-driven phone agent platform and telephony gateway designed to automate inbound and outbound… cdqa-suite/cdqa — ⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System. deepset-ai/haystack — Haystack is an orchestration framework designed for building complex search and generative AI pipelines. It functions… convlab/convlab — DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:.
Chinese medical dialogue data 中文医疗对话数据集
This project is an AI-driven phone agent platform and telephony gateway designed to automate inbound and outbound voice interactions. It functions as a conversational voicebot system that utilizes large language models to conduct natural language phone conversations for customer support and data collection. The platform distinguishes itself through the integration of retrieval-augmented generation, allowing voice agents to search internal knowledge bases for domain-specific answers during live calls. It features automated language detection to support multilingual conversations and a system f
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 pipeli
⛔ NOT MAINTAINED An End-To-End Closed Domain Question Answering System.