18907305772/MAKER
ACL'2023: Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog
This project helps build conversational AI assistants that can respond accurately by pulling relevant information from a knowledge base. It takes a customer's query and a structured knowledge base (like a database of products or services) and generates a helpful, information-rich response. This is for AI researchers and developers focused on creating highly accurate chatbots for customer service or information retrieval.
No commits in the last 6 months.
Use this if you are developing task-oriented dialogue systems and need to improve how your AI retrieves specific entities and attributes from a knowledge base to generate more precise responses.
Not ideal if you are looking for a ready-to-deploy chatbot solution for general conversational AI, as this focuses on a specific technical component for advanced dialogue systems.
Stars
9
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2024
Commits (30d)
0
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