रासा एक ओपन-सोर्स फ्रेमवर्क है जो वार्तालापी AI बनाने के लिए है। मशीन लर्निंग के साथ संदर्भपूर्ण AI सहायक बनाएं और किसी भी प्लेटफॉर्म पर तैनात करें।
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#ओपन-सोर्स#फ्रेमवर्क#मशीन लर्निंग
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मुफ्त ओपन-सोर्स, एंटरप्राइज़ मूल्य निर्धारण
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Rasa Core Features
Open-Source Framework — Rasa is free and open-source, allowing developers to customize and extend the framework to fit their specific needs without licensing costs.
Contextual AI Assistants — Build assistants that understand context and maintain conversation state, enabling more natural and human-like interactions.
Machine Learning Pipeline — Leverage state-of-the-art ML models for intent classification and entity extraction, with the ability to train custom models on your data.
Multi-Platform Deployment — Deploy your assistant on any channel including web, mobile, Slack, Facebook Messenger, and more, with easy integration via APIs.
Interactive Learning — Use Rasa X to review conversations, correct mistakes, and continuously improve your assistant with human-in-the-loop learning.
Customizable NLU & Dialogue Management — Fine-tune natural language understanding and dialogue policies to match your domain and user expectations.
Enterprise-Grade Security — Rasa Enterprise offers on-premise or private cloud deployment, ensuring data privacy and compliance with regulations like GDPR.