The article explains what the ChatGPT Code Interpreter is, demonstrates three practical use‑cases—document conversion, batch file processing, and fixing math errors—and outlines how to embed it in GPTs while noting its current limitations.
This guide presents 28 practical ChatGPT prompt strategies—from role‑playing experts and setting response length to crafting resumes, weekly reports, and product PRDs—helping readers boost productivity, creativity, and learning across personal and professional tasks.
This tutorial walks you through accessing the OpenAI ChatGPT API with Python, covering account setup, API key generation, code examples for basic calls, custom system instructions, conversation memory handling, and building a simple GUI chatbot using tkinter or Gradio.
This article details how to create iTaTools, a macOS app and Xcode Source Editor Extension that integrates ChatGPT via AIGC to generate code, UI, and documentation directly in Xcode, complete with implementation steps, Swift code samples, and plugin architecture.
This article provides a comprehensive guide on creating a Python-based ChatGPT chat interface using Flask, covering web application setup, HTML interface creation, backend logic implementation, and frontend JavaScript enhancement.
Leveraging AI tools such as ChatGPT provides instant feedback, personalized learning paths, flexible timing, and up‑to‑date resources, enabling beginners to quickly grasp HTML, CSS, and JavaScript, practice through project‑based exercises, improve collaboration skills, and continuously refresh their front‑end development expertise.
This article walks readers through the evolution of artificial intelligence—from early expert systems and machine learning basics to convolutional neural networks, the AlphaGo series, MuZero's rule‑free learning, and the generative power of large language models like ChatGPT—highlighting how deep learning, Monte Carlo tree search, and self‑play collaborate to achieve unprecedented performance across games, science, and language.
This tutorial walks through creating a Spring Boot application that integrates the OpenAI ChatGPT API, covering prompt concepts, API endpoint details, required request parameters, project setup, necessary dependencies, DTO definitions, RestTemplate configuration, and a REST controller to generate AI‑driven responses.
This article explains the fundamentals of AI, machine learning, deep learning, and natural language processing, describes how Transformer architectures and attention mechanisms power large language models such as GPT‑4 and ChatGPT, and walks through tokenization, prediction, and practical development with Python.
This guide introduces Spring AI, shows how to add dependencies, configure OpenAI credentials, and demonstrates chat, image, and prompt APIs with code examples, then explores advanced function calling to build business‑level large language model integrations in Java.
This presentation outlines the development of ChatGPT, the underlying principles of large language models, and how they empower new industrialization in the automotive sector, detailing practical implementations, agent architectures, data and model closed‑loops, and case studies such as intelligent quality inspection and G8D agents.
This article explains how to use ChatGPT to automatically generate accurate pandas scripts for Excel‑based data analysis, compares Python packages with VBA, shows prompt engineering techniques, and demonstrates adapting the code for Excel's built‑in Python feature.
Discover a Python 3.11‑based WeChat bot that leverages ChatGPT for intelligent replies, AI‑generated images, context memory, and a suite of automation features such as friend management, video downloads, and automated Moments posting, complete with system requirements, installation steps, and visual demos.
An experiment conducted on Interviewing.io shows that candidates using ChatGPT can pass 73% of original LeetCode interview questions and 67% of modified ones, while interviewers fail to detect any cheating, highlighting the need for custom interview problems to mitigate AI‑assisted fraud.
This article explains what GPTs (customized ChatGPTs) are, outlines the subscription and access requirements, walks through the GPTs store interface, and demonstrates creating a logo with the “Logo Creator” GPT, highlighting the multi‑turn workflow and built‑in DALL·E 3 generation.
This article walks you through five progressive levels—from basic usage to prompt engineering, custom instructions, bespoke Prompt bots, and finally creating OpenAI GPTs—demonstrating how structured prompts, role setting, output formatting, and integrated extensions can dramatically boost ChatGPT’s effectiveness for professional tasks.
Based on SEMrush data, this article ranks the ten most visited AI tools of 2023, highlighting ChatGPT’s dominance, the rise of conversational agents like Character.AI, and the popularity of image generators and other AI services.
While ChatGPT excels at generating code and debugging, it falls short on legal compliance, critical statistical reasoning, stakeholder insight, truly novel problem‑solving, and ethical decision‑making, making certain developer tasks irreplaceable.
This article explores how large language models like ChatGPT can be leveraged to transform natural‑language requirements into UML diagrams using PlantUML, demonstrating the workflow, prompt engineering, iterative training, and the resulting efficiency gains for developers.
Learn how to generate text embeddings with OpenAI's ChatGPT API, store them in Redis' vector database, and perform efficient similarity searches using PHP, covering installation, API calls, index creation, vector storage, KNN querying, and practical code examples.
Sam Altman's 2023 recap, detailing his board clash, leadership lessons, and OpenAI's rapid rise, offers a concise guide on building resilient AI teams, focusing on clear communication, high‑impact work, hiring for potential, and navigating the broader societal impact of generative artificial intelligence.
This guide shows how AI assistants such as ChatGPT, Microsoft Copilot, Mindshow, Gamma, Flourish and Midjourney can quickly generate outlines, designs, data visualizations and illustrations for year‑end summary presentations, dramatically cutting preparation time and boosting creativity.
This article evaluates the current state of AI‑powered UX design tools—ChatGPT/Claude for research and copy, Midjourney/Stable Diffusion for visual assets, and four emerging AI functions for prototype creation—highlighting their strengths, limitations, and practical suggestions for designers seeking smarter workflows.
This guide walks you through building a Spring Boot application that calls the OpenAI ChatGPT API, covering prompt concepts, API request details, required dependencies, configuration of RestTemplate with authentication, DTO definitions, controller implementation, and example use cases.
A community-driven investigation reveals that GPT‑4’s output length drops in December, with statistical tests showing a significant reduction, sparking debates about seasonal effects, model prompts, temperature settings, and the need for further reproducible experiments.
Nature’s 2023 ‘Scientists of the Year’ list famously included the AI chatbot ChatGPT, highlighting its growing role in scientific research, its contributions to papers and code, and the ethical challenges it raises for the future of knowledge creation.
This article explains how ChatGPT is integrated into the Columbus Instant Design low‑code platform, detailing the platform’s core capabilities, AI‑driven workflow for creating and modifying UI floors, implementation architecture, token management, and future development plans.
This article explores how software test engineers can leverage ChatGPT for tasks such as requirement analysis, test case creation, defect reporting, functional test generation, API test case generation, and automation script writing, thereby improving testing speed, accuracy, and overall quality.
This article details a step‑by‑step case study of creating, illustrating, bilingualizing, and publishing a children’s picture book using ChatGPT, Midjourney, Photoshop, New Bing, and Kindle Create, highlighting workflow, prompt engineering, and practical publishing challenges.
This article examines the principles behind ChatGPT, detailing its continuation-based operation, the role of attention mechanisms and transformer architecture, the scaling of neural networks that leads to emergent abilities, and interprets these phenomena through the lenses of compression theory and the Chinese Room thought experiment.
Researchers discovered that prompting ChatGPT with repeated words can cause the model to leak private data such as phone numbers and email addresses, highlighting a serious repeat‑prompt vulnerability that reveals substantial personally identifiable information from its training corpus.
This article walks through the newly released GPTs feature in ChatGPT, showing how Plus users can create, configure, and test custom GPTs, integrate external APIs, and share their creations while highlighting current limitations and future potential.
This tutorial shows how, with about 50 lines of Python using Playwright and pyperclip, you can automate a persistent Firefox session to log into ChatGPT Plus, navigate to your private GPT URL, send prompts and retrieve responses via the clipboard, all without incurring extra API fees.
This tutorial walks through creating an intelligent documentation site that stores markdown pages in Embedbase, retrieves semantically similar chunks for user queries, builds contextual prompts, and streams answers from ChatGPT using a custom Nextra theme and Node.js backend.
This article explores how software test engineers can leverage ChatGPT to improve efficiency across the testing workflow, including requirement analysis, test case creation, defect reporting, functional and API test generation, and automation script development, while providing code examples and practical tips for integrating AI assistance into testing processes.
This article explains how software test engineers can combine ChatGPT and the HttpRunner framework to address DevOps testing pain points, record web operations, batch‑modify scripts, run and debug tests, and automatically generate API test cases and scripts for faster, more efficient regression testing.
OpenAI's new ChatGPT Code Interpreter, which can generate and run Python code in a sandbox, has been shown to allow malicious actors to exploit spreadsheet handling and command execution features, raising serious information‑security concerns among experts.
OpenAI’s DevDay showcased a suite of new tools—including GPT Builder for custom models, the GPT Store for creator revenue, GPT‑4 Turbo with longer context and multimodal support, plus deeper Microsoft collaboration—signaling a shift toward more accessible, community‑driven artificial intelligence.
This document presents a series of real‑world examples showing how ChatGPT can assist cloud‑trading developers with backend tasks such as resource scheduling, regex interpretation, CSV generation, JavaBean‑to‑JSON conversion, Spring IoC learning, JSON formatting, Java 8 stream processing, and CI pipeline error analysis.
This article examines how ChatGPT can be combined with fuzz testing to automatically generate test cases, detailing the research process, design, implementation, performance metrics, discovered bugs, limitations, and future plans for improving AI‑driven automated testing in a real‑world e‑commerce environment.
This tutorial explains how to develop an online consulting chatbot using the ChatGPT PHP library, covering prerequisite setup, API key acquisition, installation, client creation, multi‑turn conversation handling, response extraction, and output, with complete code examples.
This article reviews the evolution and challenges of ChatGPT technology, describes the authors' efforts to localize and commercialize the model for the Chinese market, and introduces their open‑source Chinese large‑model initiative, including training methods, performance gaps, and future improvement directions.
This tutorial guides readers through building an AI‑powered chat application using PHP and the OpenAI ChatGPT API, covering environment setup, Composer dependency installation, backend PHP integration, a simple HTML/JavaScript front‑end, and how to run the app locally for interactive conversational experiences.
This tutorial explains how to build a PHP‑based ChatGPT chatbot, covering environment setup, API key acquisition, library installation, core code implementation, a simple web interface, and steps to run and extend the application.
This article explains step-by-step how to develop an intelligent ChatGPT-powered chatbot with PHP, covering environment setup, installing the PHP ChatGPT library, writing code to send messages and receive responses via the OpenAI API, and testing the bot with example scripts.
OpenAI has officially launched ChatGPT's real‑time internet browsing and expanded multimodal capabilities, marking a shift from its 2021‑cutoff data model, while also unveiling DALL‑E 3 image generation and highlighting the intense AI competition and massive investment behind these advances.
This article shows programmers how to harness ChatGPT beyond simple Q&A by using advanced prompting techniques for knowledge summarization, task decomposition, code reading, refactoring, generation, unit‑test creation, and plugin integration, turning AI into a practical development assistant.
Amid the rise of generative AI tools like ChatGPT, Stack Overflow announced a 28% staff reduction, shifting focus to its new OverflowAI suite, while a Cornell study links the layoffs to declining site traffic and the broader impact of AI on developer communities.
This article describes how to construct an intelligent customer‑service assistant using ChatGPT for natural‑language understanding, BERT for user‑question classification, and Sentence‑BERT for knowledge‑selection, detailing system architecture, prompt design, model training, performance results, and practical cost reductions.
Recent research suggests GPT‑3 exhibits Theory of Mind abilities, prompting a deep dive into attention mechanisms, neural network fundamentals, emergent capabilities, and the role of compression in large language models, while examining philosophical thought experiments like the Chinese Room to question true machine intelligence.
OpenAI’s latest update adds multimodal voice and image capabilities to ChatGPT, letting users speak or upload pictures for more natural, context‑rich conversations powered by advanced GPT‑3.5 and GPT‑4 models.
This article demonstrates how to use ChatGPT step‑by‑step to design, generate, refine, and test a lightweight Java framework that automatically maps enum descriptions for front‑end consumption, covering problem definition, annotation design, core class implementation, code snippets, and performance evaluation.
Stephen Wolfram explains the inner workings of ChatGPT, covering its transformer architecture, probability‑based word selection, training on massive text corpora, the role of embeddings, neural network layers, attention mechanisms, and the challenges of modeling language, offering a deep technical overview for AI enthusiasts.
The article examines how AI‑generated phrases such as “Regenerate response” and “As an AI language model, I …” have appeared in peer‑reviewed papers, leading to retractions, discusses the scale of the problem, and outlines publisher policies that allow AI assistance when properly disclosed.
This article offers a non‑algorithmic engineer’s clear overview of large language models, explaining ChatGPT’s generative‑pre‑training‑transformer foundation, core mechanisms like attention, practical prompt‑engineering tips, and how enterprises can integrate LLMs into data analysis, smart‑customer service, and other business workflows while noting associated risks.
Co‑authored with ChatGPT, this article explores how large language models reshape software engineering by automating routine coding and bug‑fixing, raising skill demands, boosting productivity through code generation and reviews, creating new AI‑focused roles, highlighting tasks that remain human‑centric, and urging engineers to upskill in AI, data science, ethics, and collaborative problem‑solving to stay competitive in the irreversible AI era.
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.
This article explains the inner workings of ChatGPT, covering how large language models predict the next token using probability distributions, the role of embeddings, the transformer architecture with attention heads, training methods, loss functions, and why such a massive neural network can produce coherent, human‑like language.
This article details JD's low‑code mini‑program platform, describing its MCube architecture, visual drag‑and‑drop canvas, data binding and interaction mechanisms, and how Ui2Code and ChatGPT are used to streamline development while balancing vertical specificity and horizontal generality.
Based on a privacy‑compliant click‑stream panel of 20 million devices across 200+ countries, this report examines ChatGPT’s global usage trends, revealing a decline in overall traffic, dominant programming and education use cases, and the most frequent user commands such as “Write”, “Create”, and “List”.
This article demonstrates how Java developers can leverage ChatGPT to design and iteratively refine a lightweight backend framework that automatically scans annotated enums and generates key‑description maps for front‑end consumption, complete with code examples, performance testing, and deployment guidance.
This tutorial walks through creating a Chrome extension that uses the ChatGPT API to translate selected text, covering setup with OpenAI's quickstart, key code snippets for prompts, content‑script and background service worker, Vite plugin usage, deployment on Vercel, and runtime considerations.
The article introduces the ChatGPT 0720 update, explains the new Custom Instructions feature, shows how to enable and configure it, compares responses with and without the feature, and provides detailed code examples for implementing similar functionality via system messages in developer tools.
This article explains how to embed the ChatGPT API into a low‑code development plugin to automatically translate Chinese variable names into English, preset Prompt templates, and generate fully typed Vue code for CRUD pages, complete with code examples and configuration steps.
This article walks through discovering Bilibili's comment API, programmatically fetching paginated JSON data, converting it into Java POJOs, storing and sorting the comments, and finally feeding the top entries to ChatGPT for automated sentiment and content analysis.
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.
This article examines ChatGPT's limitations in real‑time information and answer accuracy, then proposes a retrieval‑augmented method that combines up‑to‑date document search with large language models to deliver more reliable and current responses across various scenarios.
This article explains how Codex, built on the GPT‑3.5 architecture, is trained and fine‑tuned to give ChatGPT the ability to generate code, detailing the data collection, supervised fine‑tuning, evaluation using HumanEval and the pass@k metric, and presenting performance comparisons with GPT‑3 and Codex‑S.
The project implements a ChatGPT‑powered prompt generator for Stable Diffusion that translates non‑English ideas, crafts concise 50‑word positive prompts with structured modifiers, filters prohibited content, leverages few‑shot examples, and is containerized via Docker, dramatically simplifying AI art creation for beginners and multilingual users.
WormGPT, a €60‑per‑month black‑hat AI built on GPT‑J, can generate malicious code, phishing emails and other illegal content, exposing serious security risks and prompting experts to recommend BEC training and stricter email verification to mitigate AI‑driven cyber attacks.
This article explores the practical deployment of ChatGPT‑based products, detailing the model fundamentals, technical architecture, engineering‑focused prompt design, real‑world application scenarios, and the challenges of model generalization, resource consumption, data privacy, interpretability, and ethical considerations.
This article introduces prompt engineering for ChatGPT, explains key design principles, and demonstrates a series of practical applications such as text classification, summarization, role‑playing, terminal emulation, output formatting, temperature control, iterative fine‑tuning, and reverse‑engineering of prompts.
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.
In March 2023 Stack Overflow’s traffic fell nearly 14% while ChatGPT’s usage surged, prompting the company’s CEO to announce a 10% layoff and sparking a broader analysis of AI‑driven tools like GitHub Copilot reshaping how developers seek code solutions.
OpenAI’s newly opened Code Interpreter for ChatGPT Plus users lets the model execute Python code, enabling data upload, analysis, visualization, and file conversion, which many see as a game‑changing tool that could democratize data analytics while still facing limitations like paywalls and no internet access.
This article explains the inner workings of ChatGPT, covering its probabilistic token generation, transformer architecture, attention mechanisms, embeddings, training process, and the mathematical principles that enable a massive neural network to produce coherent, human‑like text.
OpenAI’s newly released Code Interpreter plugin lets ChatGPT write, run, and test code, offering file handling, a built‑in Python environment with popular libraries, and a secure sandbox, while showcasing ten impressive tricks—from converting GIFs to MP4s to turning data into interactive webpages.
ChatGPT’s new Code Interpreter lets GPT‑4 Plus users upload files, have the model write, run, and debug Python code in a private sandbox, enabling non‑programmers to automate complex tasks such as data analysis, image‑to‑video conversion, and PDF generation through natural language prompts.
This article explores how ChatGPT can boost developers' productivity by generating code, refactoring and debugging, explaining code line‑by‑line, clarifying programming concepts, and automatically creating test cases, encouraging programmers to embrace AI as a daily tool.
The article examines how ChatGPT’s strong design and coding capabilities boost programmer productivity, explores historical parallels with past programming revolutions, and discusses whether AI will ultimately reduce development team sizes or simply reshape the software industry’s demand and job landscape.
An anonymous developer built WinGPT, a C‑based ChatGPT client that runs on Windows 3.1 and later 16‑or 32‑bit Windows versions, using native TLS 1.3 to connect to OpenAI’s API, highlighting the challenges of retro UI controls, Winsock dependency, and icon creation on legacy systems.
The article examines the so‑called “grandma loophole”—a prompt‑injection technique that convinces ChatGPT, Bing, and other LLMs to generate Windows and Office activation keys, explores related exploits across platforms, and discusses the broader implications for AI security and ongoing mitigation efforts.
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.
This article explores whether AI agents such as ChatGPT can help business owners quickly perform data analysis by linking large language models with local MySQL databases via LangChain, presenting the experimental setup, schema creation, sample queries, results, and practical insights.
This article explains what GPT is, how it is trained, its strengths and limitations, the various risks it poses, and provides practical guidance on safely adopting large language models like ChatGPT within development teams, including code‑level analysis examples.
This article curates recent front‑end engineering insights, including a ChatGPT‑driven pair‑programming approach using the driver‑observer model, a rapid 200‑line Vue‑like framework built with AI assistance, practical JavaScript code‑cleanliness techniques, strategies for optimistic UI design, and a lightweight method for measuring user‑experience metrics.
This article explains what AIGC (AI‑Generated Content) is, compares it with PGC and UGC, explores AI applications in low‑code platforms, and shows how front‑end engineers can use large language models and prompt engineering to dramatically boost development efficiency.
This article explains the fundamentals of recommendation systems, their digital representation, how ChatGPT and large language models are applied to enhance recommendation performance, and highlights emerging trends such as conversational recommendation and a recommended book on the subject.
The article examines how AI-generated misinformation spreads across platforms—from misleading answers on Bing and Stack Overflow to fabricated news stories—highlighting the resulting contamination of online information, the risks to model training, and emerging efforts to detect and curb such low‑quality AI output.
The article examines how AI-generated content is flooding the Chinese internet with unverified information, causing misinformation across platforms like Bing, Zhihu, Stack Overflow and Reddit, and discusses research showing that training models on such data can degrade future AI performance.
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 article shares the author’s hands‑on experiments with ChatGPT, demonstrating how the AI model can generate code, translate scripts, create test cases, assist with debugging, and improve game‑testing workflows while also comparing its strengths to New Bing and discussing safety considerations.
This guide explains why prompt quality determines AI output, introduces a four-part prompt template, shows real examples for travel planning, interview simulation, and workflow assistance, and teaches advanced techniques like continuation and reward‑punishment commands to fine‑tune ChatGPT responses.
Ziroom demonstrates how large language models like ChatGPT, combined with WhisperX transcription and LangChain-powered pipelines, can automate meeting minutes, generate summaries, and build intelligent knowledge bases, outlining implementation steps, code snippets, and practical challenges for internal AI adoption.
The article recaps a Beijing offline salon where experts and open‑source contributors discussed ChatGPT desktop applications, the development and deployment of ChatGPT‑Next‑Web, large‑language‑model challenges, the VisualGLM multimodal model, and product design considerations, providing technical insights and community perspectives on AI advancements.
This article explains what AIGC is, explores the current challenges of front‑end productivity, and shows how AI—especially ChatGPT—can be integrated into low‑code platforms through prompt engineering, enabling automatic page generation, layout editing, and component creation to dramatically boost development efficiency.
This article explains prompt engineering for large language models like ChatGPT, covering its definition, essential techniques such as diverse prompting strategies, problem restatement, background provision, gradient prompting, example inclusion, role‑playing, and the importance of systematic experimentation and quantitative evaluation to achieve high‑quality, task‑specific AI outputs.
This article explains how ChatGPT, as a powerful AI tool, can assist software testers by automatically generating test cases, locating bugs, creating automated test scripts, and producing test reports, thereby reducing costs and improving testing efficiency and accuracy.
This article explains how artificial intelligence tools such as ChatGPT, NewBing and MidJourney can streamline the entire UI design workflow—covering user research, concept generation, prompt engineering, style control, and rapid iteration—to produce higher‑quality, user‑focused interfaces faster.
