AI Answers

网格搜索（Grid Search）是机器学习中用于系统化寻找最优超参数组合的自动化方法。这种方法通过预先定义每个超参数的候选值范围，穷举所有可能的参数组合，逐一训练模型并评估性能，最终选择表现最佳的超...

随机搜索（Random Search）是一种超参数优化方法，通过在参数空间中随机采样候选点来寻找最优配置。

数据增强（Data Augmentation）是通过人工创造新数据来扩充训练数据集的技术方法。

The Naive Bayes algorithm is a supervised learning algorithm based on Bayes' theorem. Naive Bayes is based on Bayes' theorem. The "naive" part is the assumption that the features are conditionally independent of each other. Simplifying the assumptions greatly reduces the computational complexity and makes the algorithm efficient in practical applications.

K-Means Clustering (K-Means Clustering) is a classical unsupervised machine learning algorithm. It is mainly used to divide a dataset into K disjoint clusters. The goal of the algorithm is to assign n data points to the K clusters so that each data point belongs to the cluster corresponding to its nearest cluster center.

Feedforward Neural Network (FNN) is the basic and widely used artificial neural network model. The core feature is that the connections in the network do not form any loops or feedback paths, and the information flows strictly unidirectionally from the input layer to the output layer, after a...

K-Nearest Neighbors (K-Nearest Neighbors) are instance-based supervised learning algorithms that can be used for classification and regression tasks.

Convolutional Neural Network (CNN), an artificial neural network specifically designed to process data with a grid structure, has excelled in the field of image and video analysis.

Cross-Validation is a core method for assessing the generalization ability of a model in machine learning.The basic idea is to split the original data into a training set and a test set, and to obtain more reliable performance estimates by rotating the use of different data subsets for training and validation. This approach simulates ...

Random Forest (Random Forest) is an integrated learning algorithm that accomplishes machine learning tasks by constructing multiple decision trees and synthesizing their predictions. The algorithm is based on the Bootstrap aggregation idea, where multiple subsets of samples are randomly drawn from the original dataset with putback for each tree...

Loss Function (Loss Function) is a core concept in Machine Learning, undertaking the important task of quantifying the prediction error of a model. This function mathematically measures the degree of difference between the model's predicted value and the true value, providing a clear directional guide for model optimization.

In machine learning, a hyperparameter is a configuration option that is preset manually before model training begins, rather than learned from data. The central role is to control the learning process itself, as if setting a set of operating rules for the algorithm. For example, the learning...

Decision Tree (DT) is a tree-shaped predictive model that simulates the human decision-making process, classifying or predicting data through a series of rules. Each internal node represents a feature test, branches correspond to test results, and leaf nodes store the final decision. This algorithm uses a divide-and-conquer strategy...

Gradient Descent is the core optimization algorithm for solving function minimization. The algorithm determines the direction of descent by calculating the gradient of the function (the vector consisting of the partial derivatives of each), and iteratively updating the parameters according to the rule θ = θ - η - ∇J(θ).

Logistic Regression is a statistical learning method used to solve binary classification problems. The central goal is to predict the probability that a sample belongs to a particular category based on input features. The model maps the linear output to between 0 and 1 by linearly combining the eigenvalues using an S-shaped function...

Regularization is a core technique in machine learning and statistics to prevent model overfitting. Regularization controls the degree of fitting by adding a penalty term to the objective function that is related to the complexity of the model. Common forms include L1 and L2 regularization: the L1 produces sparse solutions and applies...

Generative Adversarial Network (GAN) is a deep learning model proposed by Ian Goodfellow et al. in 2014. The framework implements generative modeling by training two neural networks against each other...

Self-Attention is a key mechanism in deep learning, originally proposed and widely used in the Transformer architecture. The core idea is to allow the model to simultaneously attend to all positions in the input sequence, and compute each position by weighted aggregation of...

Multi-Task Learning (MTL) is not an isolated algorithm, but an intelligent machine learning paradigm.

Diffusion Model (Diffusion Model) is a generative model specialized for creating new data samples such as images, audio or text. The core of the model is inspired by the process of diffusion in physics, which simulates the natural diffusion of particles from a region of high concentration to a region of low concentration. In the machine...

Model fine-tuning (Fine-tuning) is a specific implementation of transfer learning in machine learning. The core process is based on pre-trained models, which utilize large-scale datasets to learn generic patterns and develop extensive feature extraction capabilities. The fine-tuning phase then introduces task-specific datasets to ...

Attention Mechanism (Attention Mechanism) is a computational technique that mimics human cognitive processes, initially applied in the field of machine translation, and later becoming an important part of deep learning.

The Transformer architecture is a deep learning model designed for processing sequence-to-sequence tasks such as machine translation or text summarization. The core innovation is the complete reliance on self-attention mechanisms, eschewing traditional loops or convolutional structures. Allowing the model to process all elements of a sequence in parallel, large...

Pre-trained Model is a fundamental and powerful technique in the field of Artificial Intelligence, representing machine learning models that are pre-trained on large-scale datasets. Models form a broad knowledge base by processing massive amounts of information and learning generalized patterns and features from the data...

Large Language Model (LLM) is a deep learning system trained on massive text data, with the Transformer architecture at its core. The self-attention mechanism of this architecture can effectively capture long-distance dependencies in language. The model's "large ...

Long Short-Term Memory (LSTM) is a recurrent neural network variant specialized in processing sequence data. In the field of artificial intelligence, sequence data is widely used in tasks such as time series prediction, natural language processing and speech recognition.

Federated Learning (FL) is an innovative machine learning approach first proposed by a Google research team in 2016 to address challenges in data privacy and distributed computing.

Recurrent Neural Network (RNN) is a neural network architecture designed for processing sequential data. Sequential data refers to a collection of data with temporal order or dependencies, such as linguistic text, speech signals, or time series.

Neural Network (NN) is a computational model inspired by the way neurons work in the biological brain.

AI fairness is the interdisciplinary field of ensuring that AI systems treat all individuals and groups in a fair and unbiased manner throughout their design, development, deployment, and operation lifecycle.

Meta-Learning, or learning how to learn, is an important branch of the machine learning field that focuses on developing learning algorithms that can quickly adapt to new tasks.

Artificial Intelligence Safety (AI Safety) is the cutting-edge interdisciplinary field of ensuring that AI systems, especially those that are increasingly powerful and autonomous, act reliably and predictably throughout their lifecycle in accordance with human intent, without harmful consequences.

Self-Supervised Learning (SSL) is an emerging learning paradigm in the field of machine learning, where the core idea is to automatically generate supervised signals from unlabeled data and train models to learn useful representations of the data.

Artificial Super Intelligence (ASI) is an intelligent system that exceeds human intelligence, with capabilities that surpass those of humans in all domains, including cognition, creativity, problem solving, and decision-making.

Transfer Learning (Transfer Learning) is an important branch in the field of machine learning, the core idea is to apply the knowledge learned from one task or domain to another related but different task or domain.

AI governance is a comprehensive framework covering technology, ethics, law, and society that effectively guides, manages, and oversees the entire lifecycle of AI systems-from design, development, deployment, and end use. The core goal is not to hinder technological innovation, but to ensure that the development and application of AI technologies begin...

Semi-supervised learning is an important branch in the field of machine learning, which uses a small amount of labeled data and a large amount of unlabeled data to co-train a model to improve the learning effect and generalization ability.

Unsupervised Learning (ULS) is an important branch of machine learning that focuses on processing data sets that are not pre-labeled.

Reinforcement learning is an important branch of machine learning that centers on allowing intelligences to autonomously learn how to make optimal decisions to maximize long-term cumulative rewards through continuous interaction with the environment.

Supervised learning is one of the most common and basic methods of machine learning, the core idea is to teach computer models how to make predictions or judgments through existing data sets with "correct answers".

Deep Learning (DL) is a branch of machine learning that centers on the use of multi-layer artificial neural networks to learn and represent complex patterns in data.

Artificial Intelligence Ethics (AI Ethics) is a cross-disciplinary field that examines the ethical principles, values and social responsibilities that should be followed in the development, deployment and use of AI systems.

In the era of booming artificial intelligence, AI tools have changed our lives and greatly boosted academic research and paper writing. In order to help users work and study more efficiently, this compilation carefully selects and introduces 15 cutting-edge free AI academic paper assistants.

Weak Artificial Intelligence (Narrow AI) is currently the dominant form of AI technology development in our real world. Weak AI is designed and trained to perform a specific, well-defined task with a level of intelligence that may surpass that of humans in that particular domain.

Artificial Intelligence (AI) is a core branch of computer science that aims to build theoretical and technological systems that can simulate, extend, and even surpass human intelligence, so that machines have the ability to learn, reason, perceive, and make decisions that usually require human intelligence to...

Generalized Artificial Intelligence (AGI) is intelligent systems that can understand, learn, reason, adapt and create like or even beyond humans on any cognitive task.

Explainable AI (XAI) is an overarching set of programs that encompasses concepts methods technologies and governance frameworks.

Digital Twin (Digital Twin) is a technology system for mirror modeling, dynamic mapping and full life cycle management of physical entities or complex systems with high precision, high fidelity and real-time two-way interaction in a virtual digital space.

Recently, Cursor, an AI-assisted programming tool, published a list of AI models favored by developers, and the data shows that the Claude 3.7 Sonnet model occupies the top position. This official data undoubtedly reflects the choice of a significant portion of developers. But this...

BACKGROUND: OpenRouter and its Payment Options OpenRouter provides an integrated platform that allows developers and users to access a wide range of large language models from different providers through a unified API interface. For users wishing to utilize these advanced AI capabilities...

OpenRouter, a platform that aggregates APIs from many of the world's leading large language models, has recently made significant changes to its free usage policy and rate limiting. The platform is recognized for its ease of use - providing a single API key to call APIs including DeepSeek, Qw...

ChatGPT is more than a simple conversation assistant, it provides more advanced features to help users systematically handle repetitive tasks and projects. This article will introduce Projects and GPTs (customized GPTs) in ChatGPT ...

General Introduction cursor-shadow-patch is an open source tool designed specifically for the Cursor editor version 0.47.x. It can be used to modify the machine ID of the software. It modifies the machine ID of the software to help users solve the device identification limitations caused by...

Dify is an engine and development platform for AI applications. If you need to develop an enterprise-level AI application, or intelligent body application, you generally have the following choices: - Handwrite all the code and interface with API interfaces of various big model vendors by yourself. - Use certain...

The MGX platform is a product developed and launched by DeepWisdom. To understand MGX, we need to understand the company behind it, DeepWisdom. DeepWisdom is...

What is the MCP protocol and why is it important? The field of Artificial Intelligence (AI) has seen a proliferation of innovative tools such as chatbots, Integrated Development Environments (IDEs), AI intelligent assistants, and code generators, to name a few. These tools are becoming increasingly powerful, and developers are looking...

General-purpose task intelligences, such as Manus, are designed to mimic human problem-solving abilities by understanding user intent, deconstructing complex tasks, and working collaboratively to achieve goals.At the core of Manus is its Multi-Agent-based architecture, which allows multiple intelligent Agen...

Q: In the face of many AI tools on the market, Dify, FastGPT and RAGFlow are three tools that have attracted a lot of attention, what are the features and advantages of each of them? What are the features and advantages of each of them? How should we choose them according to our own needs in practical applications? Answer: Dify...

The emergence of Manus AI Agent reflects several important trends in the development of AI: The practical value of AI Agent is highlighted: Manus directly demonstrates the practical value of AI technology in the capacity of "Builder", allowing users to intuitively feel...

The Manus AI Agent's technical highlights include the following: Strong Model Support: Manus is based on Claude and Qwen, two leading large-scale language models, with additional post-training to optimize the Agent for...

Manus is an AI Agent product built by a Chinese team, and it has been hailed as the first "real work" AI. Manus is named after MIT's Latin motto, "Mens et Manus," which means "Knowledge meets practice. Manus is named after MIT's Latin motto "Mens et Manus", which means "Knowledge meets practice. With...

Say Goodbye to the Big Model Client Selection Dilemma: A Side-by-Side Review of Cherry Studio, Chatbox, and AnythingLLM In the 2025 era of rapidly advancing AI technology, large models have infiltrated every industry, becoming a driver of innovation and improving...

Manus is a general-purpose AI intelligences platform built by Monica's team. Manus is all over the news this morning. Everyone understands intelligences, so why is Manus "universal"? Why does Manus have so many followers? Universal means it can do anything...

Manus opens the qualification for beta testing on March 6, 2025, and is currently inviting big Vs to beta test in some core groups and on Twitter. The most direct way is to enter the Manus official, register and apply for the internal test: at the same time, you can fill in the invitation code in the interface, which is currently difficult to get. The second way...

The best AI tools recommended in China! The best AI tools in China are recommended, and even a beginner can easily get started! Have you often heard of "AI tools", but don't know which ones really work well? Don't panic! Today to give you a wave of domestic super practical AI tools, easy to operate, powerful, especially suitable for novice and student party! From writing copy, making p...

Many well-known AI products have emerged in China in recent years, and they have demonstrated strong capabilities in various fields. According to the product function, we can roughly divide them into the following categories: First, text and content creation: Baidu - Wenxin Yiyin: an AI product that specializes in long text generation...

Trae is divided into domestic and overseas versions, corresponding to different operating companies and websites. When you use Trae overseas in China, you will face the problem of not being able to log in or talk to the tool due to network blockage, so you just need to turn on the science tool globally. For those who don't want to use "science" but still want to use T...

Google AdSense Tax Information Management: How to Apply for a Certificate of Tax Residency/Chinese Tax Resident Identification A comprehensive guide on how to apply for a Chinese Tax Resident Identification for Google AdSense and other multinational income scenarios. Understanding Tax Residency ...

Using the AI web cloning tool, you can take a web page and reproduce it, exactly in code, in 30 seconds! The advent of AI web cloning tools marks a significant advancement in the field of web development and design. These tools utilize artificial intelligence technology to quickly and accurately convert existing web pages into editable code...

First, the core function of DeepSeek AI software positioning DeepSeek AI software is a multi-scene-oriented intelligent productivity tool, based on deep learning natural language processing technology, which can be understood as "intelligent work assistant that can think". Unlike traditional software with a fixed function model, its...

DeepSeek AI Official Web Portal For access to DeepSeek's official resources, the following two core sites are available to meet different needs: 1. Main Site Portal (Enterprise Portal) URL: https://www.deepseek.com Content...

Basic Knowledge and Preparation of Chatbox Functions The Chatbox function provided by the DeepSeek platform is essentially an API interface call system, and users need to interact with the model by means of the API. Preparation work needs to be done before creating a chatbot: Local deployment of Oll...

With Artificial Intelligence (AI) technology advancing at a rapid pace, OpenAI continues to introduce more iterations of the ChatGPT model, bringing users more powerful tools to choose from, such as the GPT-4o, GPT-4o Mini, o1, and o3-mini ...

ChatGPT (developed by OpenAI) and DeepSeek (developed by China Depth Seeker), as the two mainstream language models, there are significant differences in technical architecture, application scenarios, language support, etc. The following is a summary of the core areas: First, the model architecture and training logic ...

Three ways to access DeepSeek Chat's official website The following are the currently available official access channels and detailed operation guidelines: Way 1: Directly access the main domain name Enter the official address in the address bar of your browser: https://chat.deepseek.cn Build...

First, the complete process analysis of the local deployment of DeepSeek High-end personal deployment: DeepSeek R1 671B Local deployment tutorial: based on Ollama and dynamic quantization Local deployment needs to be divided into hardware preparation, environment configuration, model loading three stages of implementation. It is recommended to choose ...

First, the core principle of DeepSeek's report generation function DeepSeek's AI report generation function is based on natural language processing (NLP) and machine learning technology, and by analyzing the data sources and instruction requirements provided by the user, it automatically completes the three major core functions of information integration, data analysis, text generation...

Differences in Professional Ability in Vertical Domains Taking the financial industry as an example, the DeepSeek-Math model shows a clear advantage in mathematical derivation tasks. Test data show that when dealing with professional problems including compound interest rate calculation, portfolio optimization, etc., DeepSeek's answer accuracy is higher than that of the general-purpose model...

The core principle of DeepSeek AI lyrics generation Capture the law of music creation through pre-trained language models, and the generation process contains three key stages: Style recognition: According to the keywords "Chinese style", "pop rock", etc. input by the user, automatically match the corresponding corpus (such as analyzing Jay Zhou...

DeepSeek has been continuously on fire for over a month. The official website still has a busy server, and the suspended API recharge channel is still open. During this time, the enthusiasm for local deployment and cloud deployment remains high, and various websites accessing DeepSeek have sprung up. In addition to the familiar big...

1, DeepSeek Strengths: Logical reasoning and code generation: outstanding performance in mathematical problem solving, code generation and other tasks that require logical reasoning, suitable for developers and academic research scenarios. Low Cost and Open Source: By optimizing the model structure and training cost, DeepSeek provides cost-effective...

Comprehensive introduction Stirling-PDF is a powerful open source tool that focuses on localized PDF file processing . It is deployed on the user's own device via Docker and provides a rich set of PDF manipulation features including merging, splitting, converting, compressing, adding watermarks and so on. Whether ...

Driven by the wave of Artificial Intelligence technology, AI Agent (intelligent body) technology is developing at an unprecedented speed and gradually penetrating into various industries. In the face of the endless AI Agent platforms and technology frameworks on the market, both technical experts and industry novices may face...

Education & Learning English Speaking Prompt: Generate an article on [topic] about learning to speak English, with practical tips on how to improve your spoken English, in a style that is practical and easy to understand, suitable for the general public, with a focus on ways to practise speaking. Programming Skills Prompt: Generate an article about [Topic...

DeepSeek is a high-profile Chinese company specializing in the research, development, and application of general artificial intelligence (AGI) in the field of artificial intelligence technology. DeepSeek's core business revolves around big models and strives to make breakthroughs at the forefront of innovation in AI technology. Dee...

I. Introduction Deepseek R1 is a high-performance general-purpose large language model that supports complex reasoning, multimodal processing, and technical document generation. This manual provides a complete local deployment guide for technical teams, covering hardware configuration, domestic chip adaptation, quantization scheme, heterogeneous scheme, cloud alternative...

DeepSeek as AI big model session of the top stream, came out of nowhere, forcing the GPT-5 and Baidu Wenxin Yiyin have lowered their heads for free. There are more than 100 platforms online DeepSeek, but not every one of them is easy to use. Many platforms have several fatal problems: ...

Step 1: Install the "magic tool" Ollama 🚀 (Windows computers look here!) What is Ollama? 🤔 Again, Ollama is a "magic toolbox" that makes it easy for you to run all kinds of awesome AI models, like the one we're using today...

Running DeepSeek-R1 with an RTX 4090 graphics card, it is recommended to prioritize the 671B full-blooded version of the Q4_K_M quantization, followed by the 14B or 32B quantized version, provided that it relies on KTransformers, and if it is a pain in the ass to learn, you can choose Unsl...

A. Does 360 have access to DeepSeek? The answer is yes. 360 Group announced in January 2025 that it would provide network security protection for DeepSeek free of charge, and opened a DeepSeek high-speed private line in its product "Nano AI Search". The dedicated line is available through...

First, the core positioning of the relationship between the two parties According to public information, 360 and DeepSeek have not established a direct equity relationship or traditional business cooperation, but there is an indirect association of technical synergy and strategic support. For example, 360's Nano AI Search APP integrates DeepSeek-R...

Yes, 360's "Nano AI Search" does have a PC version, and you can use DeepSeek-R1 full-blooded version for free! 1. The official PC client is now online According to the official release of 360, the "Nano AI" Windows desktop version of the client released on February 11, 2025,...

360 DeepSeek and the original version of the difference Here from the functional positioning, the actual performance, technical differences between the three perspectives to help you clear the difference, after reading you will know how to choose 👇 First, the functional positioning is different The original version of DeepSeek: divided into two "brain" to work V3 model (default): like ...

First, the official entrance and download 360 Nano Search App (recommended) Download address: search for "Nano Search" in the app store or visit Nano AI Search. Function Description: Integrated DeepSeek-R1-360 high-speed dedicated line, fast response time and free. Support switching other ...

DeepSeek Model Local Deployment Hardware Requirements Analysis Core Hardware Elements Analysis The hardware requirements for model deployment mainly depend on three dimensions: Parameter magnitude: 7B/67B and other models of different sizes vary greatly in terms of video memory requirements, the largest DeepSeek R1 671B Ben...

The core of the problem is not deepseek, there is no difference between deepseek and other big model usage techniques, you can learn a lot of usage techniques in AI commands, and regarding deepseek-specific techniques, you need to know that DeepSeek-r1 belongs to the inference model...

I. Impact and Challenge: Reconfiguration of Brick-and-Mortar Customer Traffic and Price System Basic Consulting Substitution and Price Transparency DeepSeek may accelerate the loss of low-value customer traffic in brick-and-mortar stores by lowering the threshold for consumers to access professional information. For example, in the pharmaceutical retail sector, consumers can use AI assistants to quickly obtain...

When building a RAG system, choosing the right Embedding model is a crucial step, here are my key factors and suggestions to consider when choosing an Embedding model for your reference: Clarify the application scenarios First of all, it is necessary to clarify the specific application scenarios of the RAG system and...

DeepSeek Practical Integration Project, aims to list the excellent integration tools and applications emerging from DeepSeek's big model ecosystem, and facilitate users to quickly understand and use DeepSeek's powerful capabilities. Through the DeepSeek Open Platform, developers can easily access AP...