# Long-text Understanding

LLM2CLIP is an innovative approach that enhances CLIP's cross-modal capabilities through large language models, significantly improving the discriminative power of visual and text representations.

The first fully free and open-source Italian large language model, built on mistral-7b, optimized for Italian, outperforming Llama2 13B

A 7-billion-parameter large language model developed by Alibaba Cloud, based on the Transformer architecture, supporting both Chinese and English languages as well as code processing, with multi-turn dialogue capabilities.

This is a large-scale discriminator model based on the ELECTRA architecture, specifically fine-tuned for Q&A tasks on the SQuAD2.0 dataset, capable of handling both answerable and unanswerable question scenarios.

A large language model based on Transformer architecture, supporting text understanding and generation tasks in both Chinese and English

This is a versatile large language model capable of understanding and generating natural language text