Data Science

The Dual Faces of AI Source God: Small Parameters, Big Models Can Reflect, But Are Only Limitedly Open Source

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The Dual Faces of AI Source God: Small Parameters, Big Models Can Reflect, But Are Only Limitedly Open Source

During the tuning process of the Llama 3 model, Chen Tianchu discovered that this open-source large model, supported by powerful computing power and high-quality massive data, indeed “opened a window for an open experience” for enterprises or individual users without sufficient computing power. Author: Qian Yujuan Cover Image: Tuchong Creative More than two weeks have … Read more

Understanding Vector Distance in Vector Databases

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Understanding Vector Distance in Vector Databases

Vector distance is crucial in various fields such as mathematics, physics, engineering, and computer science. They are used to measure physical quantities, analyze data, identify similarities, and determine the relationships between vectors. This article provides an overview of vector distance and its applications in data science. What Is Vector Distance? Vector distance, also known as … Read more

Understanding Vector Database Distances: A Comprehensive Guide

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Understanding Vector Database Distances: A Comprehensive Guide

Vector distances are crucial in various fields such as mathematics, physics, engineering, and computer science. They are used to measure physical quantities, analyze data, identify similarities, and determine relationships between vectors. This article will provide an overview of vector distances and their applications in data science. What Is Vector Distance? Vector distance, also known as … Read more

Performance Improvement with Pseudo-Graph Indexing for RAG

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Performance Improvement with Pseudo-Graph Indexing for RAG

This article is approximately 5500 words long and is recommended for an 11-minute read. This paper proposes a pseudo-graph structure by relaxing the pattern constraints on data and relationships in traditional KGs. Paper Title: Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning Author Affiliation: Renmin University of China (RUC), Shanghai … Read more

RAG Meets LLMs: Advancing Retrieval-Augmented Large Language Models

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RAG Meets LLMs: Advancing Retrieval-Augmented Large Language Models

Source: ZHUAN ZHI This article is approximately 1000 words long and is recommended for a 5-minute read. In this tutorial, we provide a comprehensive review of the existing research on Retrieval-Augmented Large Language Models (RA-LLMs). As one of the most advanced technologies in the field of artificial intelligence, Retrieval-Augmented Generation (RAG) technology can provide reliable … Read more

4 Basic Strategies for Optimizing RAG Process

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4 Basic Strategies for Optimizing RAG Process

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

Advanced RAG: Enhancing RAG Performance

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Advanced RAG: Enhancing RAG Performance

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

AGI Insights for 2024: Forks and Currents

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AGI Insights for 2024: Forks and Currents

TL;DR AI Multimodal Explosion: Text to Brain -> Sound to Heart + Vision to Instinct AI Applications Are Technology-Driven; Current Products Have Limited Capabilities Sora Is Not the Goal, but a Solid Step Towards AGI “Interaction” and “Content” Will Become Cheap, While “Authenticity” Will Be a Scarce Resource “AI-Native” Refers to Reconstructing Business Models Based … Read more

DS-Agent: Case-Based Reasoning for Near 100% Success in Data Science Tasks

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DS-Agent: Case-Based Reasoning for Near 100% Success in Data Science Tasks

MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and industry researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

AI’s Rise and ESG Risks: Insights into Energy Crisis

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AI's Rise and ESG Risks: Insights into Energy Crisis

1. AI’s Rapid Development Review New quality productivity is driven by the deep application of new technologies, thereby constructing a new type of social production relationship and system. In the 2024 government work report, the development of new quality productivity ranks first among the government’s ten major tasks. As an important driving force for new … Read more