RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

A high-throughput and memory-efficient inference and serving engine for LLMs

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Low-Rank adapter extraction for fine-tuned transformers models

SGLang is a high-performance serving framework for large language models and multimodal models.

ALTA Shared Task 2023 - Stack Ensemble of Transformers