# Research-Specific Model

The SPIDER-Thorax Model is a deep learning model specifically trained for patch-level classification of thoracic pathology images.

Orca 2 is a research-oriented language model developed by Microsoft, focusing on enhancing the reasoning capabilities of small language models, fine-tuned based on LLAMA-2.

Pythia-12B is the largest model in EleutherAI's scalable language model suite, with 12 billion parameters, specifically designed to advance scientific research on large language models

CLIP is a vision-language model developed by OpenAI, trained via contrastive learning for image and text encoders, supporting zero-shot image classification.