Author: Deephub Imba This article is about 3000 words long, and it is recommended to read it in 7 minutes. This article will introduce four strategies for optimizing Retrieval-Augmented Generation (RAG) using private data. In this article, we will introduce four strategies for optimizing Retrieval-Augmented Generation (RAG) using private data, which can enhance the quality … Read more
Author: Luv Bansal Translation: wwl Proofreading: Zhang Yiran This article is approximately 4400 words long and is recommended for a reading time of over 10 minutes. This article discusses various techniques for optimizing different parts of the RAG pipeline and enhancing the overall RAG workflow. Image generated by the author using Dalle-3 provided by Bing … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP master’s and PhD students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial fields of natural language processing and machine learning, especially for beginners. Reprinted … Read more
Source: ScienceAI Original Title: Science | What Is General Artificial Intelligence? The Evolution of AGI Concept in AI Translated by | Kaixia On March 21, Professor Melanie Mitchell of the Santa Fe Institute (SFI) published an article titled “Debates on the Nature of Artificial General Intelligence” in Science. The author explores how the concept of … Read more
1. Issues in the Operation of Cement Kiln and Grinding System 1. Conventional DCS control algorithms are simple and have a single strategy. For the cement production system with large delays, strong coupling, and severe disturbances, it is difficult to achieve automatic and optimized production. On-site operations heavily rely on manual experience and manual operations, … Read more
Introduction This article explores how AI drives the next generation of sales. It discusses changes brought about by AI development, such as personalized text generation for telemarketing calls and enhanced interruption capabilities. It proposes future scenarios where sales personnel will no longer need to analyze user data and design scripts but will rely on AI … Read more
Selecting the right LLM inference stack means choosing the right model for your task and running appropriate inference code on suitable hardware. This article introduces popular LLM inference stacks and setups, detailing their cost composition for inference; it also discusses current open-source models and how to make the most of them, while addressing features that … Read more
Selected from arXiv Authors: Yang You, Jing Li, et al. Editor: Machine Heart Editorial Team Last year, Google released the large-scale pre-trained language model BERT based on the bidirectional Transformer and made it open-source. The model has a large number of parameters—300 million—and requires a long training time. Recently, researchers from Google Brain proposed a … Read more
↑↑↑ Follow “Star Mark” Datawhale Daily Insights & Monthly Study Groups, don’t miss out Datawhale Insights Author: Wang Maolin, Huazhong University of Science and Technology, Datawhale Member Content Overview XGBoost Model and Parameter Tuning Summary XGBoost Principles XGBoost Advantages Summary XGBoost Parameter Details XGBoost Quick Usage XGBoost Parameter Tuning Methods PPT Download: Reply “210502” in … Read more