# Conversational Interaction

A multimodal model fine-tuned based on Qwen/Qwen2-VL-2B-Instruct, optimized for OCR, image-to-text conversion, LaTeX math solving, and handwriting recognition

VARCO-VISION-14B is a powerful English-Korean Vision-Language Model (VLM) that supports image and text input, generates text output, and possesses capabilities for grounding, referencing, and OCR.

Yuna AI is a virtual companion model designed for emotional companionship and conversation, aiming to establish deep emotional connections with users.

This project integrates the YOLO object detection model with the LLaMa 2 7B large language model, aiming to provide navigation assistance for visually impaired individuals in their daily travels.

TAPAS is a table-based question answering model that handles conversational QA tasks on tabular data through pre-training and fine-tuning.

TAPAS is a QA model for tabular data. This tiny version is fine-tuned on the SQA dataset, suitable for table-based QA tasks in conversational scenarios.