# Multi-hop Reasoning

A targeted sentiment analysis model fine-tuned from Flan-T5-XL, trained using the Three-Hop Reasoning (THoR) framework, specifically designed for English text

C4AI Command R+ is an open-weight 104 billion parameter research model with advanced capabilities, including Retrieval-Augmented Generation (RAG) and tool usage for automating complex tasks.

This model is based on the TinyBERT architecture developed by Huawei Noah team, fine-tuned on the HotpotQA dataset, suitable for QA tasks.

This is an adapter trained on the bert-base-uncased model, specifically designed for question answering tasks, using the Wikihop dataset for training.