REPLUG: Retrieval-Augmented Black-Box Language Models

Hong-Wei Wu published on 2024-10-31 included in category Paper Introduction

Explore how Retrieval-Augmented Generation (RAG) enhances black-box LLMs. This article details the NAACL 2024 paper REPLUG, discussing its innovative methods for Inference and Training stages to improve LLM answer quality and effectively reduce hallucination.

Python's Small Integer Cache: Faster Code with a Hidden Trick

Hong-Wei Wu published on 2024-10-03 included in category Python Tutorial

Discover Python's Small Integer Cache! Learn how Python optimizes common integers (-5 to 256) for faster performance and efficient memory use. Simple examples included.

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Hong-Wei Wu published on 2024-07-29 included in category Paper Introduction

Explore Cambrian-1, NYU's deep dive into vision-centric Vision-Language Models (VLMs). Discover key insights on visual encoders, connector design (SVA), training strategies, and new open-source tools like CV-Bench & Cambrian-7M data to advance AI's visual understanding.