This article explains the AI model‑compression technique of knowledge distillation, describing how a large teacher network transfers its soft predictions to a lightweight student network using temperature‑scaled softmax, enabling deployment on resource‑constrained devices.
From Turing’s 1950 imitation game to GPT‑4’s multimodal vision‑language capabilities, the field has evolved from simple rule‑based programs like ELIZA and PARRY, through statistical learning and the 2017 Transformer breakthrough, to large-scale generative models that achieve fluent conversation yet still grapple with hallucination and true understanding.
This tutorial explains how to use PHP to connect to Midjourney's AI painting API, covering preparation, request construction, cURL transmission, response handling, and a complete example that enables developers to generate and manage AI‑created artwork.
The article surveys the rise of LLM‑powered AI agents, defining them as LLM + memory + planning + tool use, contrasting fully autonomous agents with human‑guided autopilot/copilot variants, outlining their benefits, risks such as hallucinations and unsafe actions, and urging modular frameworks and oversight for reliable enterprise deployment.
Time Magazine's 2023 list of the 100 most influential AI figures spotlights leading scholars, entrepreneurs, and innovators—from Sam Altman and Geoffrey Hinton to Li Yanhong and Ted Chiang—detailing their achievements, impact on AI research, and the broader implications for the future of artificial intelligence.
According to Reuters, OpenAI's ChatGPT experienced a third consecutive month of reduced website visits in August, with global traffic dropping 3.2% to 1.43 billion and average session time falling to seven minutes, while unique visitors edged up slightly and a new Canva plugin was introduced for Plus subscribers.
At the 2023 Global Digital Ecology Conference, Tencent unveiled its self‑developed, open‑access large language model Hunyuan, detailing its massive scale, full‑stack proprietary technology, performance advantages, diverse business integrations, and the company’s broader strategy to embrace and commercialize advanced AI across its ecosystem.
The article presents Ant Group’s edge‑cloud collaborative risk‑control solution, detailing its evolution from pure cloud to edge‑cloud and edge‑cloud‑edge models, the challenges of precise, low‑latency detection, privacy protection, and the core AI algorithms such as personalized models, federated learning, and differential privacy.
This article introduces the evolution of embedding techniques, presents real‑world case studies of embedding‑based FAQ retrieval, explains evaluation metrics such as Recall and MRR, and compares the performance of a proprietary ZhongAn embedding model with OpenAI and Sentence‑BERT models on Chinese FAQ datasets.
This interview explores how artificial intelligence, especially large language models, is transforming banking through digitalization, personalized services, risk management, and operational automation, while also highlighting data, model, and compute challenges that financial institutions must address to sustain AI-driven innovation.
Baidu’s Wenxin Yiyan, a knowledge‑enhanced large language model now at version 3.5, outperforms ChatGPT, showcases rapid training and inference, and is being deployed across transportation, agriculture, energy and other sectors, illustrating AI’s transition to industrial mass production and its strategic boost for China’s high‑quality economic growth.
Elon Musk streamed a 45‑minute, unedited live demonstration of Tesla’s new Full Self‑Driving V12 system, revealing its end‑to‑end AI video‑training approach, hardware constraints, power efficiency, code reduction, and real‑world performance across varied road scenarios, while highlighting a brief manual intervention.
This article explores how generative AI (AIGC) can be used to synthesize structured data, how such synthetic data enhances causal inference tasks, and how agent‑based modeling and the YLearn framework together enable a two‑way synergy between AIGC and causal learning for enterprise AI solutions.
Generative AI, a branch of artificial intelligence that creates novel content such as text, images, and music, works by learning patterns from training data, with common models including GANs, VAEs, autoregressive and Transformer-based architectures, and its development involves task definition, data preparation, model design, training, evaluation, and ethical considerations.
This article explains the principles of collaborative filtering, outlines its three main types—user‑based, item‑based, and model‑based—and focuses on model‑based approaches such as matrix factorization, clustering, and deep‑learning techniques for recommending personalized game items to improve player experience and monetization.
The article highlights the pivotal role of computing power in the digital economy, summarizes the 2023 China Computing Power Conference hosted by the Ministry of Industry and Information Technology and Ningxia, and details Alibaba Cloud's award-winning AI‑driven services, low‑carbon data‑center research, innovative academic cases, and its commitment to greener, more affordable cloud solutions.
This article examines how ChatGPT-4, as an advanced natural‑language‑processing model, can streamline data analysis tasks—from generating Hive table definitions and sample data to crafting complex HiveSQL queries, visualizing results, and implementing ClickHouse and Flink solutions—thereby improving efficiency, insight, and problem‑solving in big‑data environments.
The Forbes 2023 Cloud Computing Top 100 list reveals a shifting landscape where artificial intelligence is propelling new entrants like OpenAI and AI startups to the forefront, boosting established providers, while traditional cloud firms face layoffs and valuation pressures, highlighting both growth opportunities and diversity challenges.
In a recent interview, Microsoft CEO Satya Nadella likened the significance of artificial intelligence to Bill Gates' 1995 internet memo, highlighting Microsoft's partnership with OpenAI, the $13 billion investment, and the broader competitive landscape against Google, while emphasizing AI's future impact on technology and society.
The Model Innovation Forum brings together academic and industry experts to discuss cutting‑edge recommendation system models, including efficient dense retrieval, Baidu ranking architectures, offline reinforcement learning, and large‑model inspirations, offering attendees deep technical insights and practical applications.
This article examines how large language models (LLMs) are reshaping enterprise applications by enabling natural‑language interfaces, automating workflows, and enhancing data analysis, while also detailing typical use cases, integration complexities, and practical solutions such as prompt engineering and vector‑database retrieval.
Anthropic announced the Claude Instant 1.2 model, an upgraded, cheaper version of its AI assistant that leverages Claude 2.0’s capabilities, achieving higher scores on Codex (58.7% vs 52.8%) and GSM8k (86.7% vs 80.9%) benchmarks, with better safety and reduced hallucinations.
The August 2023 TIOBE ranking announced Julia's debut in the top‑20, highlighting its high‑performance, cross‑platform nature and extensive use in scientific computing, data science, machine learning, finance, engineering simulation, big data processing, and scientific visualization.
The article showcases seven Meituan research papers accepted at KDD 2023—spanning feed‑stream, cross‑domain, takeaway, bonus allocation, contour‑based segmentation, living‑needs prediction, and multilingual recommendation—detailing their novel methods, real‑world deployments, and concluding with an invitation for academic collaboration.
This guide shows how to accelerate Bloom‑7B1 inference on Alibaba Cloud ACK by converting the model to FasterTransformer format, deploying it with Triton Server, and comparing performance against the original HuggingFace checkpoint, achieving roughly a 2.5‑fold speedup.
From its inception as a simple game distribution platform to a sophisticated, multi‑layered recommendation architecture, this article details the background, early models, business growth, architectural evolution, caching strategies, GC optimization, rate limiting, experiment platform, multi‑path recall, dynamic tuning, and future intelligent enhancements of a game recommendation system.
The forum gathers leading industry experts and scholars to discuss intelligent decision technologies across manufacturing, retail, energy, and pharmaceutical supply chains, presenting case studies, deep reinforcement learning applications, and optimization methods that drive agile, data‑driven supply chain transformation.
A Volkswagen senior product designer created the 48‑second sci‑fi trailer "Genesis" entirely with AI tools—Midjourney for images, Runway for video, and CapCut for editing—detailing the prompts, workflow, costs, and creative decisions behind the project.
A Stanford‑Berkeley study reveals that between March and June 2023 GPT‑4’s accuracy on prime‑checking fell from 97.6% to 2.4%, code generation quality dropped sharply, and sensitivity handling changed, underscoring the rapid, unpredictable shifts in large language model performance over short periods.
By leveraging AI‑driven 3D reconstruction from a single webcam, Bilibili’s new system captures facial expressions, full‑body pose, and hand gestures in real time, rendering photorealistic avatars on consumer‑grade PCs within milliseconds and dramatically reducing the cost and time required for virtual‑live streaming production.
This article introduces the OpenAI Java SDK, provides code examples for edit operations and Claude AI completions, and shows how to configure the SDK in a Maven project while also recommending related SpringBoot tools.
ChatGPT, built on massive text training and simple neural network operations, generates human-like language yet lacks true understanding, prompting integration with Wolfram|Alpha’s precise computational language—a synergy highlighted by Stephen Wolfram’s insights on language structure, AI limits, and future computational possibilities.
This article explains how ChatGPT generates text by predicting the next token using large language models, describes the role of probability, temperature, and attention mechanisms in transformers, and discusses neural network training, embeddings, semantic spaces, and the broader implications for artificial intelligence research.
The article examines the rise of artificial general intelligence since 2022, analyzes ChatGPT and other multimodal large models, explains the Transformer architecture, discusses multimodal semantic alignment for AGI, and proposes a four‑level data‑intelligence framework—data, information, knowledge, wisdom—offering a roadmap for future development.
This comprehensive guide explores prompt engineering for large language models, covering its background, fundamental concepts, prompt formats, construction principles, advanced techniques like few‑shot, zero‑shot, and chain‑of‑thought prompting, as well as practical examples, evaluation metrics, and future directions.
This article introduces the ModelScope community's suite of foundational NLP models—including tokenization, POS tagging, NER, and text representation—detailing their architectures, performance, application scenarios, while also highlighting research contributions such as the ACE framework and retrieval‑enhanced techniques.
The article examines why rising RM scores in large‑model training don't ensure superior LLM performance and presents seven practical RLHF tricks—ranging from KL‑penalty to global gradient clipping—that improve PPO stability and reduce resource overhead.
The article outlines how the rapid marketization of data elements, driven by new AI-driven demands, requires robust security and privacy measures, highlighting Ant Group's multi‑layered approach—including policy alignment, confidential computing services, and cross‑cloud "Confidential Sky Computing"—to enable safe, trustworthy data circulation.
Bill Gates' recent blog outlines five major AI risks—including misinformation, security threats, job displacement, bias, and educational gaps—while urging governments and private firms to enact responsible regulations and urging the public to stay informed about AI's transformative potential.
Stability AI’s CEO Emad Mostaque predicts that within five years AI will render human programmers obsolete, citing GitHub data showing 41% of code is AI‑generated and envisioning a future where AI models run locally on phones, while emphasizing open, distributed AI for societal benefit.
Meituan announced the full acquisition of the AI startup Guangnian Zhiwai for about 20.65 billion RMB, highlighting the strategic move to secure advanced AGI technology and talent while supporting co‑founder Wang Huiwen’s health challenges and reinforcing Meituan’s position in the rapidly evolving AI industry.
At Collision 2023, AI pioneer Geoffrey Hinton warned governments to curb AI before it outsmarts humanity, while industry leaders announced NTT DATA’s global generative AI lab, the release of Svelte 4, GitHub Enterprise Server 3.9, new Linux kernel versions, and Uno Platform’s VS Code extension for mobile debugging.
June 2023’s TIOBE Index reveals Python’s share slipping to 13% amid rising competition from C, Java, and C++, while AI-driven demand still fuels its popularity, and introduces two newcomers—Microsoft’s X++ and the versatile Raku—highlighting shifting trends in programming language usage.
This article evaluates ChatGPT's performance on the 2023 national high school mathematics exam by presenting each question, the model's answers, reference solutions, and a detailed scoring analysis that reveals its strengths, limitations, and potential university admission implications.
At a June 2023 forum in Beijing, Didi partnered with leading Chinese universities to showcase award‑winning projects that applied deep‑learning positioning, long‑term pricing models, high‑precision two‑wheel navigation, in‑vehicle voice separation, and data‑driven autonomous‑driving, illustrating how academia‑industry collaboration turns cutting‑edge research into commercial value.
At the World Internet Conference, Baidu CEO Robin Li declared that large‑model AI, exemplified by Baidu’s upgraded Wenxin 3.5, is the new operating system driving digital transformation across industries—from automotive design to smart traffic—while emphasizing the need for native AI applications, safety safeguards, and robust regulatory frameworks to sustain economic growth.
Meta’s chief AI scientist Yann LeCun warned that current large language models still fall short of human and even dog intelligence, citing their lack of real‑world understanding, while Meta unveiled three new generative AI models—Voicebox for speech, MusicGen for music, and I‑JEPA for image reasoning—showcasing both progress and remaining limitations.
This article provides a comprehensive overview of decision intelligence, distinguishing predictive and decision tasks, classifies decision environments, and delves into reinforcement learning fundamentals, algorithms such as SARSA, deep reinforcement learning, and discusses current applications, challenges, and future research directions.
The announcement introduces RPI's prestigious computer science department, its extensive GPU resources, collaborations with IBM Research, and detailed profiles of three incoming faculty members—highlighting their research areas in graph neural networks, trustworthy AI, data‑centric AI, drug‑design generative models, and neural‑symbolic reasoning—while inviting PhD and intern applicants to apply with full scholarships and funding support.
Meta’s chief AI scientist Yann LeCun argues that large‑language models like ChatGPT are far from human intelligence, lacking real‑world understanding and even falling short of a dog’s cleverness, while experts debate AI’s risks, benefits, and the need for regulation.
The TIOBE June 2023 ranking shows Python's share dropping to 13% amid rising competition from C, Java and C++, while AI-driven growth and new entrants like X++ and Raku highlight shifting trends in programming language popularity.
This article outlines the background, objectives, and implementation framework of AIOps at a major bank, detailing data consolidation, analysis engines, scenario ecosystems, practical case studies, and future directions for intelligent, proactive IT operations.
The article chronicles the career of Chinese AI pioneer Huang Xuedong, detailing his education, rise at Microsoft, leadership of Azure AI, groundbreaking human‑level speech recognition breakthroughs, the engineering feats behind them—including a ten‑network model and the CNTK framework—and his recent move to Zoom.
In 2023 the Network Intelligent Research Center celebrated its largest PhD graduating class—seven scholars whose dissertations span deep‑vision hand‑gesture estimation, multi‑scenario network transmission, graph alignment, interactive streaming, knowledge‑defined networking, wireless body‑area networking, and more—showcasing significant AI‑driven advances and high‑impact publications.
This article details Guangdong Mobile's evolution of IT systems and operations, explains the four domain architecture, chronicles the AIOps adoption timeline, showcases intelligent anomaly detection, change assessment, fault diagnosis, and operation robots, and shares practical promotion methods and future outlook for AI‑driven IT operations.
The June 2023 TIOBE Index shows Python slipping to second place after a rapid rise driven by data science and AI, while languages like C, Java, C++ close the gap and newcomers X++ and Raku enter the top‑50, highlighting how AI adoption continues to shape programming language popularity.
This tutorial walks developers through setting up an OpenAI account, obtaining an API key, configuring the Python environment, and writing a complete Python script that uses the ChatGPT API to create an interactive chatbot, complete with code examples and execution tips.
Twitter has open‑sourced its core recommendation algorithm, detailing its candidate sources, in‑network and out‑of‑network ranking models, graph‑based and embedding methods, and a comprehensive list of components that power the home timeline, with links to the GitHub repositories and engineering blog.
This article examines the debate over whether large language models truly possess intelligence, arguing that next‑token prediction functions as a form of lossless data compression whose efficiency reflects intelligence, and it surveys research on knowledge extraction, neuron semantics, circuit competition, scaling effects, and the broader philosophical implications of GPT as a mirror of the world’s parameters.
At the Zhongguancun Forum, Baidu CTO Wang Haifeng showcased the self‑developed Wenxin Yiyan large language model—demonstrating its knowledge‑enhanced Q&A, writing, poetry, video generation and reasoning abilities, its integration as an intelligent office assistant, and its role in driving a model‑as‑a‑service ecosystem that fuels China’s AI‑led industrial transformation.
In a 2023 Zhi Guan Cun Forum speech, Baidu CEO Robin Li explains how large AI models are compressing human knowledge, transforming human‑computer interaction, redefining marketing and customer service, spawning AI‑native applications, and reshaping the entire technology stack, ultimately driving a new era of industrial growth.
The article examines ChatGPT's limitations in timeliness and factual accuracy, especially for security‑related queries, and proposes a method that combines external document search with the model to deliver up‑to‑date, reliable answers across intelligent‑assistant scenarios.
In this interview, Qunar VP Sun Bin reflects on his 13‑year journey, the technology operations center’s pandemic‑driven innovations, the company’s AI committee and big‑data strategies, and the philosophy of pure technical branding within the ITCP alliance.
According to StatCounter data, Microsoft’s Bing captured 37.4% of China’s desktop search market in April 2023, surpassing Baidu, while also expanding its AI capabilities with GPT‑3.5 and GPT‑4 integration and increasing chat limits, signaling a shift toward conversational, AI‑driven search experiences.
Apple has prohibited its staff from using ChatGPT and other generative AI tools over data‑leakage concerns, mirroring similar policies at Amazon, Microsoft and JPMorgan, while simultaneously developing its own large‑model‑powered Siri features under the codename Bobcat.
This article introduces Didi’s real‑time online marketplace, explains its fundamental principles, network effects, and social efficiency benefits, and examines key technical areas such as mechanism design, decision intelligence, operations research, reinforcement learning, and causal inference that drive its advanced matching and dispatch strategies.
In this expert roundtable, leading AI researchers discuss GPT‑4’s multimodal breakthroughs, the future convergence of large models with knowledge graphs, practical integration strategies, and the evolving relevance of traditional NLP tasks, offering deep insights into the direction of artificial intelligence research.
This article explains what ChatGPT is, describes how it can improve various software testing activities such as API, unit, mobile, integration, and end‑to‑end testing, highlights its context‑driven capabilities, and outlines the key limitations that testers should be aware of.
In a US Senate hearing, OpenAI CEO Sam Altman urged lawmakers to require licenses for developers of advanced AI systems like GPT‑4, highlighting election risks, misinformation, copyright concerns, and the need for a dedicated regulatory agency.
OpenAI is set to launch its first open‑source large language model in four years, sparking debate over how this move could reshape the competitive landscape of AI, affect models like LLaMA, and intensify the open‑source versus closed‑source rivalry with Google.
This article introduces graph computing, explaining its fundamentals, historical origins, key concepts such as nodes, edges, degrees, and graph representations, and explores its algorithms, graph neural networks, and real‑world applications ranging from search engines and social graphs to financial fraud detection and emerging AI technologies.
At the 2022 China AI Industry Conference, leading scientists and industry experts presented cutting‑edge research on AI security, trustworthy mobile devices, adversarial model defenses, data‑free trojan detection, and large‑model challenges, highlighting certifications, practical implementations, and the need for continued collaborative innovation.
The article examines Baidu’s groundbreaking knowledge‑deep learning dialogue system that earned the 2022 Wu Wenjun AI Science and Technology Award, detailing its technical breakthroughs, patent portfolio, large‑scale deployments, and how it underpins China’s rapid advancement in large language models and AI industry integration.
This guide compares Midjourney and Stable Diffusion, highlights their strengths and limitations, and introduces seven complementary AI tools—including Upscayl, LeiaPix, D‑ID, InsightFaceSwap, Remove.bg, Lexica, and Wonder AI—to help creators generate higher‑resolution, animated, and editable images with streamlined workflows.
This article translates Ibrahim John’s book on prompt engineering for ChatGPT, explaining a wide range of prompting techniques—including instruction, role, seed‑word, zero‑shot, few‑shot, and reinforcement‑learning prompts—through clear English descriptions, formulas, and illustrative examples to help readers obtain high‑quality model outputs.
During the Labor Day holiday IBM revealed it will pause hiring for roles it deems replaceable by AI, cutting about 7,800 jobs—primarily in HR and back‑office functions—and expects the move to save roughly $2 billion each year while other tech giants similarly scale back human‑focused positions.
The article traces the evolution from Turing's seminal AI test through the rise of ChatGPT, explains how large language models rely on knowledge graphs built from massive unstructured data, and examines the challenges and advantages of modern graph databases for high‑performance, flexible, and explainable AI applications.
The article traces the evolution from Turing's seminal AI test through ChatGPT's massive adoption, explains how large language models rely on knowledge graphs built via graph databases, and highlights the technical challenges and advantages of high‑performance, flexible, low‑code graph database solutions for real‑time AI applications.
In an in‑depth interview, legendary game developer and VR pioneer John Carmack explains why he left Meta to pursue artificial general intelligence through his startup Keen Technologies, outlining his independent research approach, predictions for AGI breakthroughs, and the potential economic impact of truly general AI.
Industrial and Financial Sectors’ first AIOps maturity assessment, led by China Information & Communication Research Institute, recognized Industrial Bank’s cloud‑native intelligent operation project as a domestic leader, detailing its architecture, performance metrics, interview insights, and future AI‑driven operational strategies.
This guide explains how to set up a Discord account, create or join a MidJourney server, meet the prerequisites, and use the /imagine command along with various upscale and variation options to generate AI images, including tips on image size and aspect ratio.
OpenAI's CEO declares that the development strategy behind ChatGPT has concluded, urging the AI community to explore new directions beyond ever‑larger models as GPT‑4 reaches the limits of scaling and cost effectiveness.
Google is racing to embed AI into its search engine with the new Magi project, aiming to deliver personalized, conversational results while fending off Microsoft’s GPT‑powered Bing and a potential Samsung shift to the rival platform.
Elon Musk announced plans to sue Microsoft for allegedly using Twitter data without permission to train AI models, sparking a heated debate over data rights, API pricing changes, and the broader competition between major tech platforms in the AI landscape.
This extensive report examines ChatGPT’s origins, the evolution of artificial intelligence and natural language processing, details the underlying Transformer architecture and GPT series, discusses its limitations, and explores the wide-ranging commercial applications and future prospects of generative AI.
At the 20th GOPS Global Operations Conference, China Mobile Jiangsu showcased how its capability platform leverages AI, big data, and blockchain to automate health scoring and intelligent inspection, dramatically improving container‑cloud operational efficiency and paving the way for smarter, SRE‑driven DevOps practices.
This article provides a comprehensive overview of ChatGPT prompt engineering, covering its background, design principles, step‑by‑step workflow, numerous practical examples—including code generation, entity extraction, and style rewriting—and discusses why prompts are crucial for large language model performance.
This article reviews Alibaba’s Tongyi Qianwen large‑language model by testing its self‑introduction, code generation, literary creation, mathematical reasoning, Chinese language understanding, and casual chatting abilities, summarizing strengths, weaknesses, and overall performance compared with other LLMs.
This article explores how ChatGPT’s remarkable abilities stem from the Transformer architecture, reinforcement learning from human feedback, and the insights presented in the fourth edition of "Artificial Intelligence: A Modern Approach," highlighting key AI milestones and technical foundations.
This article explains why causal inference is essential for moving beyond correlation to decision‑making, introduces the structural causal model framework, and provides a step‑by‑step guide to using Microsoft’s DoWhy Python library for modeling, identification, estimation, and counterfactual analysis.
Twitter has released the source code of its recommendation algorithm, revealing a three‑stage pipeline that collects, ranks with machine‑learning models, and filters tweets to balance content from followed and unfollowed accounts while optimizing for user engagement.
In a GTC fireside chat, Nvidia CEO Jensen Huang and OpenAI co‑founder Ilya Sutskever discuss GPT‑4's multimodal advances, the evolution of deep learning from early neural networks to large‑scale models, the pivotal role of GPUs and datasets like ImageNet, and their vision for more reliable, scalable artificial intelligence.
In his Spark Award address, Huawei’s founder Ren Zhengfei outlined the company’s R&D investment, the role of mathematics and AI, strategies for university collaboration, talent cultivation, open platforms, and the balance between scientific curiosity and practical technology development.
On March 29, Elon Musk, Steve Wozniak, Geoffrey Hinton and over a thousand AI experts signed an open letter urging a six‑month halt to training systems more powerful than GPT‑4, citing profound societal risks and calling for transparent, verifiable pauses and stronger governance.
This article explores whether AI constitutes a new technological revolution, examines recent breakthroughs like GPT‑4 and AIGC, predicts emerging AI‑driven industries, discusses potential societal impacts, and reflects on the path toward artificial general intelligence and future AI‑human coexistence.
The article reviews GPT‑4’s expanded visual and coding abilities, modest arithmetic gains, and capacity to use external tools, while highlighting persistent shortcomings in planning, long‑range context, complex calculations, and societal risks such as misinformation, concluding that despite impressive advances it remains far from true artificial general intelligence.
The article introduces OpenAI's newly released ChatGPT and Whisper APIs, explains their reduced costs, outlines usage details and model versions, and provides Python code examples for integrating these powerful conversational and speech‑to‑text models into third‑party applications.
An experiment comparing Chinese keyword prompts, English keyword prompts, and English natural‑language prompts for Midjourney V5 shows that descriptive, emotionally‑rich sentences produce more coherent, high‑detail images than simple keyword lists.
This article explains how ChatGPT, the popular AI chatbot, can boost developer productivity through testing, debugging, documentation, error detection, code completion, formatting, refactoring, search assistance, text classification, and summarization, while also highlighting its need for human oversight and risks such as plagiarism.
This article introduces the No‑Free‑Lunch principle in machine learning and provides concise explanations of ten fundamental supervised‑learning algorithms—including linear regression, logistic regression, LDA, decision trees, Naïve Bayes, K‑Nearest Neighbors, LVQ, SVM, random forest, and boosting—highlighting their mathematical basis, typical applications, advantages, and limitations.
