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GPT

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Architects' Tech Alliance
Architects' Tech Alliance
Jun 11, 2025 · Artificial Intelligence

From Transformers to DeepSeek‑R1: The 2017‑2025 Evolution of Large Language Models

This article chronicles the rapid development of large language models from the 2017 Transformer breakthrough through the rise of BERT, GPT‑3, ChatGPT, multimodal systems like GPT‑4V/o, and the recent cost‑efficient DeepSeek‑R1, highlighting key architectural innovations, scaling trends, alignment techniques, and their transformative impact on AI research and industry.

AI alignmentBERTGPT
0 likes · 26 min read
From Transformers to DeepSeek‑R1: The 2017‑2025 Evolution of Large Language Models
Cognitive Technology Team
Cognitive Technology Team
Feb 9, 2025 · Artificial Intelligence

A Beginner’s Guide to the History and Key Concepts of Deep Learning

From the perceptron’s inception in 1958 to modern Transformer-based models like GPT, this article traces the evolution of deep learning, explaining foundational architectures such as DNNs, CNNs, RNNs, LSTMs, attention mechanisms, and recent innovations like DeepSeek’s MLA, highlighting their principles and impact.

GPTHistoryMLA
0 likes · 19 min read
A Beginner’s Guide to the History and Key Concepts of Deep Learning
DevOps
DevOps
Dec 5, 2024 · Artificial Intelligence

A Brief History of Artificial Intelligence: From McCulloch‑Pitts Neurons to GPT‑4

This article traces the evolution of artificial intelligence from the 1943 McCulloch‑Pitts neuron model through key milestones such as Turing's test, the Dartmouth conference, the rise of neural networks, deep learning breakthroughs, and recent large language models like GPT‑4, illustrating the field's rapid progress.

Artificial IntelligenceGPTHistory
0 likes · 7 min read
A Brief History of Artificial Intelligence: From McCulloch‑Pitts Neurons to GPT‑4
Tencent Cloud Developer
Tencent Cloud Developer
Oct 30, 2024 · Artificial Intelligence

Comprehensive Survey of AIGC Research: Papers, Resources, and Technical Overview

This survey acts as a comprehensive portal that organizes AIGC research across seven domains—text, image, and audio generation, cross‑modal association, text‑guided image and audio synthesis, and supporting resources—detailing seminal models such as GPT, Diffusion, CLIP, DALL·E, Stable Diffusion, MusicLM, and key papers that shaped each field.

AIGCClipComputer Vision
0 likes · 19 min read
Comprehensive Survey of AIGC Research: Papers, Resources, and Technical Overview
JD Tech Talk
JD Tech Talk
Jun 7, 2024 · Artificial Intelligence

AI‑Powered JUnit Rule for Automatic Error Reporting to GPT

This tutorial shows Java engineers how to build a JUnit Rule that captures test failures, extracts the exception stack and source file, and automatically sends the information to OpenAI's GPT for analysis and code‑fix suggestions, complete with reusable data‑model classes and utility methods.

AIAutomationGPT
0 likes · 13 min read
AI‑Powered JUnit Rule for Automatic Error Reporting to GPT
DataFunTalk
DataFunTalk
Apr 26, 2024 · Artificial Intelligence

Large Language Models in the Automotive Industry: Overview, Impact, and Practical Exploration

This article examines how large language models such as GPT and Transformer‑based architectures are reshaping the automotive sector by enhancing in‑vehicle intelligence, streamlining product development, improving customer service, and redefining data analyst roles, while also presenting practical experiments, deployment challenges, and future directions.

Automotive AIGPTLLM applications
0 likes · 18 min read
Large Language Models in the Automotive Industry: Overview, Impact, and Practical Exploration
DataFunTalk
DataFunTalk
Dec 26, 2023 · Artificial Intelligence

The Evolution of AI and Its Challenges in the Data Industry

This article reviews the historical development of artificial intelligence, explains how AI technologies such as large language models are reshaping data processing and analysis, and discusses the practical challenges, trust issues, and governance requirements when applying AI to the data industry.

Artificial IntelligenceData IndustryGPT
0 likes · 10 min read
The Evolution of AI and Its Challenges in the Data Industry
DataFunSummit
DataFunSummit
Dec 21, 2023 · Artificial Intelligence

The Evolution of AI and Its Challenges and Opportunities in the Data Industry

This article reviews the historical development of artificial intelligence, examines how AI—especially large language models like GPT—can transform data analysis and governance, and outlines the practical challenges, reliability concerns, and future opportunities of integrating AI into the data industry.

Artificial IntelligenceData AnalyticsGPT
0 likes · 8 min read
The Evolution of AI and Its Challenges and Opportunities in the Data Industry
Ximalaya Technology Team
Ximalaya Technology Team
Nov 13, 2023 · Artificial Intelligence

Step-by-Step Guide to Creating Custom GPTs with Knowledge and Action Plugins

This step‑by‑step tutorial shows how to build a custom nutrition‑analysis GPT—named “Nutri Buddy”—by logging into ChatGPT, creating a GPT, uploading knowledge files, configuring an Action plugin that calls the Boohee food API for calorie, protein and carbohydrate data, and then publishing the assistant with private, link‑only, or public visibility.

API IntegrationCustom AIGPT
0 likes · 8 min read
Step-by-Step Guide to Creating Custom GPTs with Knowledge and Action Plugins
Architect
Architect
Oct 12, 2023 · Artificial Intelligence

Evolution of Language Models: From Statistical N‑grams to GPT‑4

This article provides a comprehensive overview of natural language processing and language‑model research, tracing the historical development from early rule‑based and statistical N‑gram models through neural network approaches such as RNN, LSTM, ELMo, and Transformer, and detailing the architectures, strengths, and limitations of the GPT series up to GPT‑4, while also discussing evaluation metrics, practical applications, and future challenges.

Artificial IntelligenceGPTNLP
0 likes · 34 min read
Evolution of Language Models: From Statistical N‑grams to GPT‑4
Zhuanzhuan Tech
Zhuanzhuan Tech
Sep 28, 2023 · Artificial Intelligence

Evolution of Language Models and an Overview of the GPT Series

This article surveys the development of natural language processing from early rule‑based systems through statistical n‑gram models, neural language models, RNNs, LSTMs, ELMo, Transformers and BERT, and then details the architecture, training methods, advantages and limitations of the GPT‑1, GPT‑2, GPT‑3, ChatGPT and GPT‑4 models, concluding with a discussion of future challenges and references.

Artificial IntelligenceGPTNLP
0 likes · 30 min read
Evolution of Language Models and an Overview of the GPT Series
JD Tech
JD Tech
Sep 19, 2023 · Artificial Intelligence

Leveraging GPT for Code Writing, Script Generation, and Business Integration

This article demonstrates how to use GPT to accelerate code development, automate script creation, and integrate AI-driven suggestions into real‑world business scenarios such as e‑commerce promotion, providing practical tips, example prompts, and ready‑to‑run code snippets.

AI DevelopmentFlutterGPT
0 likes · 10 min read
Leveraging GPT for Code Writing, Script Generation, and Business Integration
Sohu Tech Products
Sohu Tech Products
Aug 23, 2023 · Artificial Intelligence

Engineering GPT Applications: Capabilities, Limitations, and Solutions

The guide explains GPT’s core capabilities—natural language mastery, domain reasoning, and code generation—while detailing its limits such as prompt sensitivity, token caps, and lack of memory, then offers engineering workarounds like systematic prompting, chain‑of‑thought, external memory, tool integration, safety checks, and a six‑layer architecture for building robust commercial AI applications.

AI Application ArchitectureChain-of-ThoughtGPT
0 likes · 20 min read
Engineering GPT Applications: Capabilities, Limitations, and Solutions
Model Perspective
Model Perspective
Jul 31, 2023 · Artificial Intelligence

From RNN to ChatGPT: How AIGC Evolved with Transformers and Large Models

This article traces the evolution of AI‑generated content (AIGC) from early RNN‑based Seq2Seq models through the transformative impact of the Transformer architecture, covering key milestones such as UniLM, T5, BART, the GPT series, InstructGPT, and the emergence of ChatGPT.

AI Content GenerationAIGCGPT
0 likes · 9 min read
From RNN to ChatGPT: How AIGC Evolved with Transformers and Large Models
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jul 30, 2023 · Artificial Intelligence

ChatGPT Technical Analysis Series – Part 2: GPT1, GPT2, and GPT3 (Encoder vs Decoder, Zero‑Shot, and Scaling)

This article reviews the evolution of the GPT family from GPT‑1 to GPT‑3, comparing encoder‑decoder architectures, explaining the shift from supervised fine‑tuning to zero‑shot and few‑shot learning, and highlighting the architectural and training innovations that enabled large‑scale language models.

Artificial IntelligenceGPTLLM
0 likes · 13 min read
ChatGPT Technical Analysis Series – Part 2: GPT1, GPT2, and GPT3 (Encoder vs Decoder, Zero‑Shot, and Scaling)
JD Retail Technology
JD Retail Technology
Jul 21, 2023 · Mobile Development

Using GPT to Accelerate Development: Code Generation, Scripting, and Business Integration with Flutter and APIs

This article demonstrates how GPT can be leveraged in real‑world development to generate Flutter UI code, write automation scripts, and integrate AI‑driven search and recommendation features into e‑commerce platforms, offering practical tips, example code, and best‑practice guidelines.

API IntegrationFlutterGPT
0 likes · 9 min read
Using GPT to Accelerate Development: Code Generation, Scripting, and Business Integration with Flutter and APIs
ByteFE
ByteFE
Jun 28, 2023 · Frontend Development

How GPT is Transforming Frontend Development and UI Interaction

The article examines the rapid rise of GPT models, their technical capabilities and limitations, and how their integration is reshaping software interaction from command‑line to GUI‑plus‑Language UI, offering frontend engineers new opportunities, practical examples, and guidance on leveraging large‑model AI in product design.

AI integrationFrontend DevelopmentGPT
0 likes · 21 min read
How GPT is Transforming Frontend Development and UI Interaction
Sohu Tech Products
Sohu Tech Products
Jun 14, 2023 · Artificial Intelligence

PromptAppGPT: A Low‑Code Framework for Rapid GPT‑Based Application Development

PromptAppGPT is a low‑code, prompt‑driven framework that leverages GPT‑3/4 and DALL‑E to enable fast natural‑language‑driven app creation, automatic UI generation, multi‑task execution, plugin extensibility, and integrated code editing, compilation, and execution capabilities.

AIDALL·EGPT
0 likes · 6 min read
PromptAppGPT: A Low‑Code Framework for Rapid GPT‑Based Application Development
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jun 11, 2023 · Artificial Intelligence

Comprehensive Technical Overview of GPT Series, Transformers, and Emerging Capabilities in Large Language Models

This article provides a detailed technical review of the evolution of GPT models, the Transformer architecture, large language model training methods, emergent abilities such as in‑context learning and chain‑of‑thought, multimodal extensions, and the challenges of data, scaling, and alignment, offering a holistic view for researchers and practitioners.

AIEmergent AbilitiesGPT
0 likes · 28 min read
Comprehensive Technical Overview of GPT Series, Transformers, and Emerging Capabilities in Large Language Models
Tencent Cloud Developer
Tencent Cloud Developer
Jun 7, 2023 · Artificial Intelligence

Prompt Engineering Techniques and Their Application in Low‑Code Development with GPT and LangChain

The article explains prompt‑engineering fundamentals—definitions, instruction, context, and output formatting—and showcases tricks like few‑shot, chain‑of‑thought, and ReAct, then demonstrates testing with OpenAI APIs, token management, LangChain integration, and low‑code applications such as AI‑generated SQL, API gateways, DSL‑driven UI, chart creation, and vector‑based semantic search.

AIGPTKnowledge Generation
0 likes · 30 min read
Prompt Engineering Techniques and Their Application in Low‑Code Development with GPT and LangChain