Data Processing

Five Key Issues in China’s Large Model Industry

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Five Key Issues in China's Large Model Industry

Author: Liu Yiqin Source: Caijing Eleven (ID:caijingEleven) Currently, large models are becoming an important force driving a new round of technological innovation, industrial upgrading, and productivity leap. Domestic technology companies are seizing the opportunity, intensively launching artificial intelligence large models, showing a hundred flowers blooming situation. However, beneath the excitement of the “hundred model war,” … Read more

Complete Guide to DeepSeek: Quick Start in 10 Minutes!

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Complete Guide to DeepSeek: Quick Start in 10 Minutes!

DeepSeek is a powerful data processing and analysis tool, widely used in data mining, machine learning, business intelligence, and other fields. This article will provide a detailed introduction to installing, configuring, basic usage, advanced features, and practical tips for DeepSeek, helping you quickly get started and master this tool. 1. Introduction to DeepSeek DeepSeek is … Read more

Exploring Flowise: Your First AI Tool

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Exploring Flowise: Your First AI Tool

1. What is Flowise? Flowise is a powerful low-code/no-code drag-and-drop tool that cleverly combines artificial intelligence with a workflow engine, providing users with an intuitive and scalable way to design, execute, and monitor complex workflows. With its unique drag-and-drop interface, users can easily visualize and build large language model (LLM) applications. No in-depth programming knowledge … Read more

Introduction to KNN Algorithm

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Introduction to KNN Algorithm

KNN algorithm, or K-Nearest Neighbor (KNN) classification algorithm, is simply a method of classification by measuring the distance between different feature values. KNN is a very fundamental algorithm in the field of machine learning that can solve classification or regression problems. If you are just starting to learn machine learning, KNN is a very good … Read more

Machine Learning: From Priors to Automation

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Machine Learning: From Priors to Automation

This article discusses five major prior assumptions and how to overcome these limitations to further enhance the effectiveness of machine learning. Based on this, we propose the concept of machine learning automation and the SLeM framework. SLeM provides a formalized, modeled, and scientific research framework and approach for machine learning automation. Existing applications indicate that … Read more

Natural Language Processing (NLP): An Important Branch of AI

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Natural Language Processing (NLP): An Important Branch of AI

1 Introduction to Algorithms Natural Language Processing (NLP) is an interdisciplinary field that combines computer science, artificial intelligence, and linguistics. It primarily studies how to enable computers to understand, process, generate, and simulate human language, thereby achieving the ability to engage in natural conversations with humans. The underlying principles of natural language processing involve multiple … Read more

Artificial Intelligence and Intelligent Education: Knowledge Graphs as the Cornerstone of AI

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Artificial Intelligence and Intelligent Education: Knowledge Graphs as the Cornerstone of AI

We live in an era of information explosion, where new data is generated constantly. Crude oil is refined into gasoline, diesel, and chemical products, which are higher-value commodities. Similarly, data is refined and processed into information, knowledge, and wisdom to unleash greater value. So how do we extract value from data? The DIKW (Data, Information, … Read more

Building Neural Network Prediction Models with PyTorch

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Click on the above “Mechanical and Electronic Engineering Technology” to follow us To build a neural network model based on PyTorch for predicting outputs, you can follow these steps: Define the Problem: First, clarify whether the problem is a regression problem or a classification problem. If the output is a continuous value, it may be … Read more

13 Image Augmentation Methods in Pytorch

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13 Image Augmentation Methods in Pytorch

MLNLP(Machine Learning Algorithms and Natural Language Processing) community is a well-known natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and corporate 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. … Read more

Common PyTorch Bug Affecting 95% of Users

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Common PyTorch Bug Affecting 95% of Users

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication between the academic and industrial fields of natural language processing and machine learning, … Read more