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CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
E5-V: Universal Embeddings with Multimodal Large Language Models
欢迎来到 "LLM-travel" 仓库！探索大语言模型（LLM）的奥秘 🚀。致力于深入理解、探讨以及实现与大模型相关的各种技术、原理和应用。
[ACM MM 2024] Bridging Gaps in Content and Knowledge for Multimodal Entity Linking
VideoLLM-online: Online Video Large Language Model for Streaming Video (CVPR 2024)
✨✨Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Tuning Vision Foundation Models for Rectal Cancer Segmentation from CT Scans: Development and Validation of U-SAM
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning …
This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers in this list investigate the learning behavior, generalizat…
GPU Accelerated t-SNE for CUDA with Python bindings
Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT,Cross Encoder
Official Implementation for "MyVLM: Personalizing VLMs for User-Specific Queries" (ECCV 2024)
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
Fast and memory-efficient exact attention