Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.
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Updated
Sep 30, 2024 - Python
Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.
The Tensorflow implementation of "Review-driven Answer Generation for Product-related Questions in E-commerce ", WSDM 2019.
Different from prior reseraches that only dive into Machine Reading Comprehension (MRC) approach, we compare the strong QA models in two scenarios: MRC (span extraction) and Answer Generation (AG) (Text Generation) for Vietnamese Legal Documents.
Code for Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning, EMNLP 2021
Comprehensive Evaluation On Answer Calibration For Multi-Step Reasoning
This app allows users to auto-generate unlimited exam preparation questions, based off their own, or a community created question.
Work on answering questions in digital humanities (history) using various large language models (LLMs)
In this we generate QA pairs from the paragraph content and pdf content
Open-Domain Chitchat System with Multi-Module Architecture for Enhanced Conversational AI
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