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Prompt Engineering

1588 articles · Page 16 of 16
UCloud Tech
UCloud Tech
Sep 11, 2023 · Artificial Intelligence

Build a Soul‑Healing Chatbot with LangChain & Llama 2: A Step‑by‑Step Guide

This article walks through constructing a domain‑specific, soul‑healing chatbot using LangChain and Llama 2, comparing fine‑tuning versus external knowledge bases, detailing environment setup, data loading, text splitting, embedding with a Chinese model, vector store creation, prompt engineering, inference, and optimization strategies.

Fine-tuningLangChainLlama 2
0 likes · 14 min read
Build a Soul‑Healing Chatbot with LangChain & Llama 2: A Step‑by‑Step Guide
DataFunTalk
DataFunTalk
Sep 8, 2023 · Artificial Intelligence

Knowledge Processing in the Era of Large Models: New Opportunities and New Challenges

This article examines how large language models and knowledge graphs complement each other, discussing their respective strengths, integration techniques such as prompt engineering and knowledge editing, and outlining future research directions for building large knowledge models that combine linguistic understanding with structured knowledge representation.

AIModel AlignmentPrompt Engineering
0 likes · 27 min read
Knowledge Processing in the Era of Large Models: New Opportunities and New Challenges
AI Large Model Application Practice
AI Large Model Application Practice
Sep 6, 2023 · Artificial Intelligence

Prompt Engineering vs Fine‑Tuning: How to Choose the Best Strategy for Reliable LLM Outputs

This article compares Prompt Engineering and Supervised Fine‑Tuning for large language models, explains their principles, showcases common prompt patterns such as Chain‑of‑Thought, ReAct and Self‑Ask, outlines fine‑tuning stages and trade‑offs, and provides practical guidance on selecting the most suitable approach for specific enterprise AI Agent scenarios.

AI AgentFine-tuningLLM
0 likes · 17 min read
Prompt Engineering vs Fine‑Tuning: How to Choose the Best Strategy for Reliable LLM Outputs
58UXD
58UXD
Sep 6, 2023 · Artificial Intelligence

Create Personalized Emoji Packs with Midjourney: A Step‑by‑Step Guide

This article walks you through using Midjourney to design custom emoji packs, covering style selection, prompt crafting, seed control, blind‑box generation, and post‑processing, while highlighting how AI can dramatically boost creative efficiency for designers.

MidjourneyPrompt Engineeringdigital design
0 likes · 8 min read
Create Personalized Emoji Packs with Midjourney: A Step‑by‑Step Guide
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 28, 2023 · Artificial Intelligence

AI-Driven Application Engineering: From Prompt Engineering to Autonomous Agents

This article examines how the rapid rise of generative AI reshapes application engineering by outlining AI's core characteristics, the challenges developers face, the evolution of prompt and chain-of-thought techniques, the emergence of agents and tool integration, and the future direction toward AI‑centric computing architectures.

AIAgentsPrompt Engineering
0 likes · 20 min read
AI-Driven Application Engineering: From Prompt Engineering to Autonomous Agents
DaTaobao Tech
DaTaobao Tech
Aug 25, 2023 · Industry Insights

Why AI Engineers Are the Next Hot Tech Role—and How to Become One

The article examines the rapid rise of AI engineers, defines their responsibilities, compares them with traditional ML engineers, analyzes market demand and challenges, and outlines practical steps for aspiring professionals to acquire the skills and experience needed for this emerging role.

AI EngineerIndustry TrendsPrompt Engineering
0 likes · 17 min read
Why AI Engineers Are the Next Hot Tech Role—and How to Become One
Tencent Cloud Developer
Tencent Cloud Developer
Aug 24, 2023 · Artificial Intelligence

How to Create Your Own AI Digital Avatar with Stable Diffusion and ControlNet

Learn a low‑cost, high‑security method to generate multiple personalized AI digital avatars from a single portrait by using Stable Diffusion WebUI, img2img inpainting, and the ControlNet openpose plugin, covering prompt design, image masking, and step‑by‑step workflow without uploading data to external servers.

AI AvatarControlNetPrompt Engineering
0 likes · 11 min read
How to Create Your Own AI Digital Avatar with Stable Diffusion and ControlNet
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
58UXD
58UXD
Aug 22, 2023 · Artificial Intelligence

How to Use AI to Create Stunning Qixi Festival Designs in Minutes

This guide shows how to quickly generate Qixi-themed visual assets with the AI tool “Instant Inspiration”, covering model selection, prompt crafting, style variations, and post‑processing steps to streamline the entire design workflow.

AI-generated designPrompt EngineeringQixi festival
0 likes · 10 min read
How to Use AI to Create Stunning Qixi Festival Designs in Minutes
Ximalaya Technology Team
Ximalaya Technology Team
Aug 22, 2023 · Artificial Intelligence

Guidelines and Best Practices for Prompt Engineering with Large Language Models

The guide outlines prompt‑engineering best practices for large language models, distinguishing base and instruction‑tuned LLMs, emphasizing clear, structured, step‑by‑step prompts, handling hallucinations, iterating through idea‑code‑data cycles, applying techniques to summarization, reasoning and expansion, managing token costs, and providing concrete OpenAI API examples.

AIAPI usageLLM
0 likes · 14 min read
Guidelines and Best Practices for Prompt Engineering with Large Language Models
DataFunTalk
DataFunTalk
Aug 19, 2023 · Artificial Intelligence

Applying Large Language Models to Zhihu's Bridge Platform: Use Cases, Challenges, and Solutions

This article details how Zhihu's internal Bridge platform integrates large language models for business analysis, knowledge taxonomy, natural‑language‑to‑filter conversion, and ad‑hoc data queries, describing the workflow, technical hurdles, iterative improvements, and future directions.

AI for business analyticsNatural Language ProcessingPrompt Engineering
0 likes · 12 min read
Applying Large Language Models to Zhihu's Bridge Platform: Use Cases, Challenges, and Solutions
AI Large Model Application Practice
AI Large Model Application Practice
Aug 11, 2023 · Artificial Intelligence

How LLMs Are Revolutionizing Enterprise Apps: Scenarios, Architecture & Challenges

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.

Artificial IntelligenceLLMPrompt Engineering
0 likes · 11 min read
How LLMs Are Revolutionizing Enterprise Apps: Scenarios, Architecture & Challenges
DaTaobao Tech
DaTaobao Tech
Aug 11, 2023 · Artificial Intelligence

Practical Guide to Stable Diffusion WebUI: Prompt Engineering, LoRA, VAE, and ControlNet

This practical guide walks users through installing Stable Diffusion WebUI, explains the differences between base, LoRA, VAE, and ControlNet models, shows how to derive prompts with CLIP or DeepBooru, and provides detailed text‑to‑image and image‑to‑image examples for effective prompt engineering.

AI image generationControlNetLoRA
0 likes · 12 min read
Practical Guide to Stable Diffusion WebUI: Prompt Engineering, LoRA, VAE, and ControlNet
Architect's Guide
Architect's Guide
Aug 10, 2023 · Artificial Intelligence

Getting Started with LangChain: Building LLM Applications in Python

This tutorial introduces LangChain, an open‑source Python framework that provides unified model access, prompt management, memory, retrieval, and tool integration, enabling developers to quickly prototype AI‑driven applications using large language models and various external data sources.

AgentsLLMLangChain
0 likes · 13 min read
Getting Started with LangChain: Building LLM Applications in Python
DaTaobao Tech
DaTaobao Tech
Aug 2, 2023 · Artificial Intelligence

Prompt Engineering: Concepts, Frameworks, and Best Practices

The article surveys prompt engineering for large language models, detailing frameworks such as ICIO, BROKE, CRISPE, TRACE, COT and ToT, outlines best‑practice principles, provides diverse template examples, addresses common response issues with mitigation tactics, and lists learning resources and a Java refactoring case study.

AIPrompt EngineeringPrompt design
0 likes · 23 min read
Prompt Engineering: Concepts, Frameworks, and Best Practices
58UXD
58UXD
Jul 28, 2023 · Artificial Intelligence

How Stable Diffusion Turns Sketches into 3D Scenes and Creative Fonts

This article explores how Stable Diffusion can revolutionize visual design by instantly converting line sketches into 3D scenes, turning flat cartoon IPs into detailed 3D characters, and generating creative font styles, while detailing the required models, ControlNet settings, prompts, and post‑processing techniques.

3D renderingAI-generated designPrompt Engineering
0 likes · 9 min read
How Stable Diffusion Turns Sketches into 3D Scenes and Creative Fonts
Alibaba Terminal Technology
Alibaba Terminal Technology
Jul 27, 2023 · Artificial Intelligence

How LLMs Transform Industrial Configuration Software: Architecture & Use Cases

This article explains how integrating large language models into industrial configuration tools creates AI‑driven features such as knowledge Q&A, automatic application generation, smart drawing, script and material generation, and outlines the three‑layer architecture, prompt engineering, and implementation lessons for developers.

AI integrationLLMPrompt Engineering
0 likes · 30 min read
How LLMs Transform Industrial Configuration Software: Architecture & Use Cases
HomeTech
HomeTech
Jul 26, 2023 · Artificial Intelligence

Practical Implementation of ChatGPT Technology Products: Architecture, Prompt Engineering, and Future Challenges

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.

AI architectureChatGPTModel Challenges
0 likes · 15 min read
Practical Implementation of ChatGPT Technology Products: Architecture, Prompt Engineering, and Future Challenges
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jul 24, 2023 · Artificial Intelligence

Comprehensive Survey of Large Language Models: History, Key Technologies, Resources, and Future Directions

This article provides a detailed overview of large language models (LLMs), tracing their evolution from statistical and neural language models to modern pre‑trained transformers, discussing scaling, training, adaptation, utilization, evaluation methods, available resources, and outlining current challenges and future research directions.

Pre‑trainingPrompt Engineeringevaluation
0 likes · 26 min read
Comprehensive Survey of Large Language Models: History, Key Technologies, Resources, and Future Directions
360 Quality & Efficiency
360 Quality & Efficiency
Jul 21, 2023 · Artificial Intelligence

Prompt Engineering: Principles, Design Guidelines, and Practical Use Cases with ChatGPT

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.

AI Prompt DesignChatGPTPrompt Engineering
0 likes · 8 min read
Prompt Engineering: Principles, Design Guidelines, and Practical Use Cases with ChatGPT
58UXD
58UXD
Jul 19, 2023 · Artificial Intelligence

Master AI Image Generation with Style Models in Minutes

This guide shows how to bypass complex keyword prompts by selecting and combining AI style models in the free‑to‑use "Instant AI Inspiration" tool, covering model selection, workflow steps, practical examples, and tips for resolution, downloading, and unlimited usage.

AI ToolsPrompt Engineeringcreative workflow
0 likes · 7 min read
Master AI Image Generation with Style Models in Minutes
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 19, 2023 · Artificial Intelligence

Mastering Prompt Engineering: Techniques, Tips, and Real-World Examples

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.

Artificial IntelligenceChain-of-ThoughtFew-shot
0 likes · 33 min read
Mastering Prompt Engineering: Techniques, Tips, and Real-World Examples
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Jul 17, 2023 · Artificial Intelligence

Beyond Prompts: Designing Robust LLM Applications and the Rise of AI Engineers

This article analyzes the evolving landscape of large‑model applications, detailing prompt engineering, engineering challenges, AI‑engineer roles, domain‑driven design, and agent frameworks, while offering practical guidance and references for building production‑grade LLM‑driven systems.

AI EngineerDomain-Driven DesignLLM
0 likes · 14 min read
Beyond Prompts: Designing Robust LLM Applications and the Rise of AI Engineers
ZhongAn Tech Team
ZhongAn Tech Team
Jul 14, 2023 · Artificial Intelligence

Exploring AIGC Applications in Insurance: Insights from ZhongAn Insurance CTO Jiang Jiyun

The interview with ZhongAn Insurance CTO Jiang Jiyun discusses how the company leverages AIGC technologies such as large language models, embeddings, and prompt engineering to enhance marketing, intelligent customer service, and data security, while highlighting practical challenges and best practices for AI adoption in the insurance sector.

AIGCData SecurityEmbedding
0 likes · 15 min read
Exploring AIGC Applications in Insurance: Insights from ZhongAn Insurance CTO Jiang Jiyun
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 12, 2023 · Artificial Intelligence

Can Large Language Models Transform Recommendation Systems?

This article reviews how recent large language models (LLMs) are reshaping recommendation systems, covering their emergence, in‑context learning, prompt‑based strategies, three main LLM‑driven recommendation paradigms, key research papers, experimental results, and future research directions.

Cold StartLLMPrompt Engineering
0 likes · 20 min read
Can Large Language Models Transform Recommendation Systems?
Continuous Delivery 2.0
Continuous Delivery 2.0
Jul 11, 2023 · Artificial Intelligence

The Hype and Reality of Generative AI: Benefits, Drawbacks, and Accessibility Concerns

The article examines the surge of generative AI, outlining its potential to democratize software interaction through natural‑language prompts while highlighting challenges such as prompt‑engineering complexity, the opaque nature of large language models, and the risk of marginalizing users lacking literacy or GUI‑based control.

Prompt Engineeringaccessibilitygenerative AI
0 likes · 5 min read
The Hype and Reality of Generative AI: Benefits, Drawbacks, and Accessibility Concerns
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jul 10, 2023 · Artificial Intelligence

Enhancing Large Language Models with LangChain: Prompt Engineering, Chains, Agents, and Node.js Implementation

This article explains the limitations of large language models, introduces prompt engineering as a remedy, and provides a comprehensive guide to using the LangChain framework—including models, prompts, chains, agents, vector search, and practical Node.js code examples—to enable LLMs to interact with external tools and data sources.

AI developmentAgentsLLM
0 likes · 35 min read
Enhancing Large Language Models with LangChain: Prompt Engineering, Chains, Agents, and Node.js Implementation
21CTO
21CTO
Jul 8, 2023 · Artificial Intelligence

Unlocking LangChain: Build End-to-End LLM Apps with Chains, Agents, and Memory

This article introduces LangChain—a modular framework for constructing large‑language‑model applications—covering its core components, asynchronous support, prompt engineering, memory handling, chain and agent workflows, token considerations, embedding techniques, and a step‑by‑step Python example that culminates in a Gradio‑based conversational chatbot.

AI developmentEmbeddingLangChain
0 likes · 20 min read
Unlocking LangChain: Build End-to-End LLM Apps with Chains, Agents, and Memory
Architect
Architect
Jul 7, 2023 · Artificial Intelligence

Introduction to LangChain: Building LLM Applications with Chains, Agents, and Memory

LangChain is an innovative framework that simplifies building language‑model‑driven applications by providing modular components such as models, prompts, memory, chains, and agents, with examples of asynchronous LLM calls, custom prompt templates, vector stores, token handling, and a simple Gradio chatbot implementation.

AILLMLangChain
0 likes · 21 min read
Introduction to LangChain: Building LLM Applications with Chains, Agents, and Memory
Baobao Algorithm Notes
Baobao Algorithm Notes
Jul 5, 2023 · Artificial Intelligence

Session‑Level Sample Organization for Decoder‑Only LLM Fine‑Tuning

This article explains how to restructure multi‑turn dialogue data into single session‑level training samples for decoder‑only large language models, leveraging causal attention and simple position IDs, and provides a concrete implementation, performance results, and a gradient‑weight analysis.

ChatGLM2LLM fine-tuningPrompt Engineering
0 likes · 7 min read
Session‑Level Sample Organization for Decoder‑Only LLM Fine‑Tuning
phodal
phodal
Jun 27, 2023 · Artificial Intelligence

Designing an LLM‑Powered Architecture: The ArchGuard Co‑mate Reference Model

This article presents a detailed reference architecture for building LLM‑driven applications, using the ArchGuard Co‑mate project to illustrate layered design, local model integration, DSL‑based orchestration, and streaming LLM interfaces, complete with code examples and practical implementation notes.

AI opsKotlinLLM
0 likes · 10 min read
Designing an LLM‑Powered Architecture: The ArchGuard Co‑mate Reference Model
Smart Era Software Development
Smart Era Software Development
Jun 25, 2023 · Artificial Intelligence

What Emerging Architectures Power Modern LLM Applications?

This article outlines a reference stack for LLM applications, detailing the context‑learning design pattern, key components such as vector databases and embedding models, orchestration frameworks like LangChain, and discusses trade‑offs between proprietary and open‑source models, scaling challenges, and the future role of AI agents.

AI architectureContext LearningEmbedding
0 likes · 17 min read
What Emerging Architectures Power Modern LLM Applications?
DataFunTalk
DataFunTalk
Jun 23, 2023 · Artificial Intelligence

DeepKE-LLM: An Open‑Source Large Language Model Toolkit for Knowledge Extraction

DeepKE-LLM is an open‑source, extensible knowledge‑graph extraction framework that leverages large language models for entity, relation, and attribute extraction, supports multiple LLMs, provides installation scripts, various usage modes, fine‑tuning pipelines, and integrates with the KnowLM project for advanced instruction‑following capabilities.

DeepKEFine-tuningLLM
0 likes · 8 min read
DeepKE-LLM: An Open‑Source Large Language Model Toolkit for Knowledge Extraction
DaTaobao Tech
DaTaobao Tech
Jun 16, 2023 · Artificial Intelligence

Introduction to Stable Diffusion: Concepts, Prompts, and Advanced Techniques

The article introduces Stable Diffusion, explains key terms and parameters, guides model checkpoint merging and fine‑tuning with embeddings, LoRA, and hypernetworks, details ControlNet pose control, sampling choices, prompt engineering techniques—including weighting and negative prompts—and explores advanced uses such as inpainting, Pix2Pix, custom training, highlighting personal and commercial applications and the technology’s growing impact across industries.

AI image generationControlNetPrompt Engineering
0 likes · 18 min read
Introduction to Stable Diffusion: Concepts, Prompts, and Advanced Techniques
ByteFE
ByteFE
Jun 15, 2023 · Artificial Intelligence

Effective Prompt Engineering: Techniques, Prompt Injection Prevention, Hallucination Mitigation, and Advanced Prompting Strategies

This article explains how to craft efficient prompts by combining clear instructions and questions, discusses prompt injection risks and mitigation with delimiters, addresses hallucinations, and introduces zero‑shot, few‑shot, and chain‑of‑thought prompting techniques for large language models.

Chain-of-ThoughtFew-shotLLM
0 likes · 16 min read
Effective Prompt Engineering: Techniques, Prompt Injection Prevention, Hallucination Mitigation, and Advanced Prompting Strategies
phodal
phodal
Jun 14, 2023 · Industry Insights

What Are the Four Core Principles for LLM‑Powered Software Architecture?

This article outlines four foundational design principles—user‑intent‑driven design, context awareness, atomic capability mapping, and language‑API integration—for building LLM‑centric software architectures, illustrating each with DSL examples, Kotlin implementations, and practical insights on prompt engineering, dynamic context layering, and API evolution.

DSLDesign PrinciplesLLM
0 likes · 10 min read
What Are the Four Core Principles for LLM‑Powered Software Architecture?
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jun 12, 2023 · Artificial Intelligence

Comprehensive Guide to Using OpenAI APIs: Models, Prompts, Embeddings, Fine‑Tuning, LangChain, and Multimodal Applications

This article provides a detailed, step‑by‑step tutorial on OpenAI’s language models, API endpoints, prompt engineering, embeddings, moderation, fine‑tuning, LangChain workflows, memory management, and multimodal capabilities such as audio transcription and image generation, complete with code examples and practical usage tips.

APIEmbeddingFine-tuning
0 likes · 45 min read
Comprehensive Guide to Using OpenAI APIs: Models, Prompts, Embeddings, Fine‑Tuning, LangChain, and Multimodal Applications
Tencent Cloud Developer
Tencent Cloud Developer
Jun 12, 2023 · Artificial Intelligence

How AI Can Supercharge Front‑End Development with Low‑Code Platforms

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.

AIAIGCChatGPT
0 likes · 15 min read
How AI Can Supercharge Front‑End Development with Low‑Code Platforms
Programmer DD
Programmer DD
Jun 12, 2023 · Artificial Intelligence

Master Prompt Engineering: Guide ChatGPT to Deliver Precise Answers

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.

AIChatGPTNatural Language Processing
0 likes · 16 min read
Master Prompt Engineering: Guide ChatGPT to Deliver Precise Answers
网易UEDC
网易UEDC
Jun 6, 2023 · Artificial Intelligence

How to Quickly Create an H5 Header Image with Midjourney AI

This guide shows how to use Midjourney AI to generate a 3D‑style H5 header image in minutes, covering reference uploads, prompt translation, image selection, Photoshop refinement, and final review while discussing commercial rights and best practices for AI‑assisted design.

AI artH5 designMidjourney
0 likes · 4 min read
How to Quickly Create an H5 Header Image with Midjourney AI
Python Crawling & Data Mining
Python Crawling & Data Mining
Jun 4, 2023 · Artificial Intelligence

Master Prompt Engineering: Unlock ChatGPT’s Full Potential

This article explains why crafting good prompts matters more than memorizing facts, introduces prompt engineering for large language models, and provides practical techniques—such as diverse prompting strategies, problem restatement, background provision, gradient prompting, role‑playing, and systematic evaluation—to help users get the most out of ChatGPT and similar AI systems.

AIChatGPTNatural Language Processing
0 likes · 16 min read
Master Prompt Engineering: Unlock ChatGPT’s Full Potential
phodal
phodal
Jun 2, 2023 · Artificial Intelligence

Mastering LLMs: A Programmer’s Guide to Prompt Engineering, Architecture, and Contextual AI

This comprehensive guide walks programmers through the fundamentals of large language model capabilities, prompt writing and management, new interaction and workflow designs, advanced scenario‑specific applications, and context engineering, offering practical strategies and architectural insights for AI‑native development.

AI architectureLLMPrompt Engineering
0 likes · 14 min read
Mastering LLMs: A Programmer’s Guide to Prompt Engineering, Architecture, and Contextual AI
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Jun 2, 2023 · Frontend Development

How NetEase Cloud Music’s Front‑End Team Built an AI‑Powered Low‑Code Copilot

NetEase Cloud Music’s front‑end team integrated large language models into their internal low‑code platform, creating an AI Copilot that supports smart page creation, editing, component configuration, code snippet generation, and Q&A, while detailing the underlying architecture, prompt engineering, and mixed‑mode development workflow.

AI CopilotMixed DevelopmentPrompt Engineering
0 likes · 11 min read
How NetEase Cloud Music’s Front‑End Team Built an AI‑Powered Low‑Code Copilot
Airbnb Technology Team
Airbnb Technology Team
May 23, 2023 · Artificial Intelligence

Applying Text Generation Models to Scalable Customer Support at Airbnb

Airbnb replaced its XLM‑RoBERTa ranking with an MT5 encoder‑decoder for content recommendation, built a real‑time generative assistant for reply suggestions and intent detection, and deployed a T5‑based paraphrase chatbot, showing that large‑scale pre‑trained transformers improve relevance, agent efficiency, and user satisfaction.

AIAirbnbCustomer Support
0 likes · 12 min read
Applying Text Generation Models to Scalable Customer Support at Airbnb
DataFunSummit
DataFunSummit
May 19, 2023 · Artificial Intelligence

Expert Roundtable on the Impact of GPT‑4 and Large Models on Knowledge Graphs

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.

Artificial IntelligenceGPT-4Prompt Engineering
0 likes · 44 min read
Expert Roundtable on the Impact of GPT‑4 and Large Models on Knowledge Graphs
Programmer DD
Programmer DD
May 19, 2023 · Artificial Intelligence

Master Advanced Prompt Engineering: Boost LLM Performance with Proven Techniques

This article explains why effective prompt design—covering system messages, few‑shot learning, non‑dialogue scenarios, explicit instructions, output shaping, syntax cues, task decomposition, chain‑of‑thought, and real‑world context—is essential for reliable large language model results and provides practical examples and tips.

AIPrompt EngineeringSystem Messages
0 likes · 8 min read
Master Advanced Prompt Engineering: Boost LLM Performance with Proven Techniques
Continuous Delivery 2.0
Continuous Delivery 2.0
May 16, 2023 · Artificial Intelligence

How to Write Effective Prompts and Use the OpenAI Python API

This article explains practical principles and techniques for crafting clear, specific prompts for ChatGPT, demonstrates how to structure prompts with separators and output formats, and provides a step‑by‑step guide—including code examples—for installing the OpenAI Python library, obtaining an API key, and writing a reusable get_completion function to interact with the model.

AIChatGPTOpenAI API
0 likes · 9 min read
How to Write Effective Prompts and Use the OpenAI Python API
Baidu Geek Talk
Baidu Geek Talk
May 8, 2023 · Artificial Intelligence

Augmented Language Models: Reasoning and External Tool Utilization

The survey shows that once language models exceed roughly ten billion parameters they spontaneously acquire two complementary abilities—step‑by‑step reasoning, often elicited by chain‑of‑thought prompts or scratch‑pad training, and the capacity to invoke external tools such as search engines, calculators, or robots—enabling them to retrieve up‑to‑date information, perform complex computations, and act in the world, thereby advancing toward general artificial intelligence.

AIPrompt EngineeringRetrieval Augmentation
0 likes · 20 min read
Augmented Language Models: Reasoning and External Tool Utilization
MaGe Linux Operations
MaGe Linux Operations
May 8, 2023 · Artificial Intelligence

20 Creative Ways to Harness ChatGPT: From Code Fixes to Storytelling

This article compiles a wide range of practical ChatGPT applications—including grammar correction, translation, code explanation, error fixing, creative generation, and more—illustrated with descriptions, code snippets, and images to help users explore the model's versatile capabilities.

ChatGPTPrompt Engineeringcode debugging
0 likes · 17 min read
20 Creative Ways to Harness ChatGPT: From Code Fixes to Storytelling
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
May 6, 2023 · Artificial Intelligence

The Art of Asking ChatGPT for High‑Quality Answers – A Complete Guide to Prompt Engineering

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.

Artificial IntelligenceChatGPTNatural Language Processing
0 likes · 32 min read
The Art of Asking ChatGPT for High‑Quality Answers – A Complete Guide to Prompt Engineering
58UXD
58UXD
Apr 24, 2023 · Artificial Intelligence

Master Midjourney: Precise Image Control with /describe, Seed & Image Weight

This guide explains how to use Midjourney's /describe command, reference‑image weighting, and seed values to generate AI artwork that matches a desired style, fine‑tune existing images, and even swap clothing on characters for professional‑grade results.

AI image generationMidjourneyPrompt Engineering
0 likes · 9 min read
Master Midjourney: Precise Image Control with /describe, Seed & Image Weight
Tencent Cloud Developer
Tencent Cloud Developer
Apr 20, 2023 · Artificial Intelligence

Master Stable Diffusion: From Hardware Setup to Advanced Prompt Engineering

This comprehensive guide walks you through the hardware requirements, environment deployment, key parameters, prompt techniques, ControlNet integration, model download and installation, as well as style and character training for Stable Diffusion, providing practical code snippets and visual examples for each step.

AI image generationControlNetGPU deployment
0 likes · 38 min read
Master Stable Diffusion: From Hardware Setup to Advanced Prompt Engineering
Continuous Delivery 2.0
Continuous Delivery 2.0
Apr 20, 2023 · Artificial Intelligence

AutoGPT: Autonomous AI Tool Overview, Demonstrations, and Setup Guide

AutoGPT, the latest autonomous AI system, can independently browse the web, use third‑party tools, and execute tasks without human intervention, exemplified by building a React website in minutes, and this article explains its principles, showcases demos, and provides step‑by‑step installation instructions.

AI ToolsAgentGPTAutoGPT
0 likes · 10 min read
AutoGPT: Autonomous AI Tool Overview, Demonstrations, and Setup Guide
Tencent Cloud Developer
Tencent Cloud Developer
Apr 17, 2023 · Artificial Intelligence

AutoGPT: An Overview of Autonomous AI Agents

AutoGPT is an open‑source autonomous AI agent that uses GPT‑4/3.5 APIs to decompose user‑defined goals into sub‑tasks, iteratively execute them, store results in memory, and autonomously build complex outputs such as code, websites, research, or financial plans, though it can incur high token costs and limited transparency.

AI automationAutoGPTGPT-4
0 likes · 8 min read
AutoGPT: An Overview of Autonomous AI Agents
Architect
Architect
Apr 13, 2023 · Artificial Intelligence

AutoGPT: Building Your Own Autonomous AI Assistant in Under 30 Minutes

This article introduces AutoGPT, an experimental open‑source AI agent powered by GPT‑4 that can autonomously achieve user‑defined goals, showcases real‑world examples such as website creation and market research, and provides step‑by‑step setup instructions including repository cloning, environment configuration, package installation, Docker usage, and execution.

AI assistantAutoGPTGPT-4
0 likes · 7 min read
AutoGPT: Building Your Own Autonomous AI Assistant in Under 30 Minutes
Top Architect
Top Architect
Apr 12, 2023 · Artificial Intelligence

Data‑Centric AI Perspective on GPT Models: Training, Inference, and Maintenance

This article examines how large language models such as GPT‑1 through GPT‑4 succeed largely due to high‑quality, large‑scale training data, and explains the Data‑centric AI framework—training data development, inference data development, and data maintenance—while discussing prompt engineering, data‑driven improvements, and future trends in AI.

AIGPTPrompt Engineering
0 likes · 19 min read
Data‑Centric AI Perspective on GPT Models: Training, Inference, and Maintenance
网易UEDC
网易UEDC
Apr 12, 2023 · Artificial Intelligence

Master Stable Midjourney Characters: 5 Commands for Consistent AI Art

This guide explains how to overcome Midjourney's randomness by using five reliable commands—URL‑based prompting, seed values, panels, character sheets, and emoji‑expression sheets—to create stable characters with consistent expressions, poses, and outfits, complete with step‑by‑step instructions and visual examples.

AI artMidjourneyPrompt Engineering
0 likes · 6 min read
Master Stable Midjourney Characters: 5 Commands for Consistent AI Art
DataFunTalk
DataFunTalk
Apr 12, 2023 · Artificial Intelligence

Prompt Engineering for ChatGPT: Principles, Design Steps, and Practical Cases

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.

Artificial IntelligenceChatGPTNLP
0 likes · 30 min read
Prompt Engineering for ChatGPT: Principles, Design Steps, and Practical Cases
网易UEDC
网易UEDC
Apr 7, 2023 · Artificial Intelligence

Turn Images into Precise Midjourney Prompts with the /describe Command

This guide shows how to use Midjourney's new /describe command to convert reference images into detailed prompts, evaluate their quality, and combine them with the /image command for fast, accurate AI‑generated commercial graphics, enabling even beginners to create posters in minutes.

AI artMidjourneyPrompt Engineering
0 likes · 5 min read
Turn Images into Precise Midjourney Prompts with the /describe Command
Smart Era Software Development
Smart Era Software Development
Apr 7, 2023 · Artificial Intelligence

ChatGPT's New Opportunities for Software Engineering: Expert Insights from SETalk

In a SETalk livestream, experts discuss how ChatGPT and Copilot X dramatically boost coding efficiency, lower entry barriers, reshape software development workflows, raise concerns about job displacement, and outline three emerging paradigms—LLM for SE, SE for LLM, and LLM as SE—while highlighting current limitations and future trends.

AI productivityChatGPTCopilot
0 likes · 29 min read
ChatGPT's New Opportunities for Software Engineering: Expert Insights from SETalk
网易UEDC
网易UEDC
Apr 5, 2023 · Artificial Intelligence

Master Midjourney: Step‑by‑Step Guide to AI Image Generation

This tutorial walks you through registering Midjourney, setting up a private Discord server, adding the Midjourney bot, and using both keyword prompts and image‑to‑image techniques to create high‑quality AI‑generated artwork, complete with detailed prompt tips and example outputs.

AI artAIGCDiscord
0 likes · 10 min read
Master Midjourney: Step‑by‑Step Guide to AI Image Generation
ByteFE
ByteFE
Apr 3, 2023 · Artificial Intelligence

Mastering Prompt Engineering: Building a CLI Command Translator with the ChatGPT API

This comprehensive tutorial demonstrates how to leverage the official ChatGPT API and advanced prompt engineering techniques to develop a command-line tool that translates natural language instructions into precise shell commands, covering iterative prompt design, constraint implementation, and Node.js integration.

AI ToolsCLI DevelopmentChatGPT API
0 likes · 15 min read
Mastering Prompt Engineering: Building a CLI Command Translator with the ChatGPT API
Yunxuetang Frontend Team
Yunxuetang Frontend Team
Mar 17, 2023 · Frontend Development

Top Frontend Tech Insights: IOC, JS Frameworks, Mobile Evolution, and AI Trends

This article curates key front‑end and emerging tech topics—including Inversion of Control in JavaScript, the overload of JS frameworks, Facebook's iOS codebase evolution, GPT‑4's launch, prompt‑engineering automation, and nuanced UI control design—offering concise insights for modern developers.

Artificial IntelligenceIoCJavaScript
0 likes · 4 min read
Top Frontend Tech Insights: IOC, JS Frameworks, Mobile Evolution, and AI Trends
DeWu Technology
DeWu Technology
Mar 17, 2023 · Artificial Intelligence

Prompt‑Ops and LangChain: Engineering LLM Applications

Prompt‑Ops frameworks like LangChain let developers turn pre‑trained LLMs into versatile applications by abstracting model calls, chaining prompts, integrating tools, managing memory, and handling private data, while addressing challenges such as nondeterminism, version control, and prompt injection in production environments.

AI ApplicationsAgentLLM
0 likes · 15 min read
Prompt‑Ops and LangChain: Engineering LLM Applications
phodal
phodal
Feb 27, 2023 · Artificial Intelligence

Mastering AIGC: From Prompt Design to Custom Stable Diffusion Models

This article walks through a practical AIGC workflow—defining a three‑step human‑machine blueprint, crafting effective prompts and negative prompts, leveraging ControlNet and DreamBooth for custom models, and refining outputs with Inpaint—showing how to boost creative efficiency with open‑source AI tools.

AI artAIGCControlNet
0 likes · 13 min read
Mastering AIGC: From Prompt Design to Custom Stable Diffusion Models
DataFunTalk
DataFunTalk
Feb 27, 2023 · Artificial Intelligence

Exploring ChatGPT: Evolution, Technical Foundations, and Practical Applications

This article reviews the development of ChatGPT from early GPT models, explains its underlying RLHF training, compares it with BERT and GPT‑3, and discusses practical applications such as intelligent writing, customer service, and voice calling, while evaluating performance, cost, and future prospects.

AI ApplicationsChatGPTNLP
0 likes · 22 min read
Exploring ChatGPT: Evolution, Technical Foundations, and Practical Applications
phodal
phodal
Feb 20, 2023 · Artificial Intelligence

Prompt Engineering Secrets: Text‑to‑Image, Article & Code Generation with AI

This guide explores how to craft effective prompts for Stable Diffusion image creation, ChatGPT article writing, and GitHub Copilot code generation, covering prompt evolution, negative prompts, ControlNet enhancements, model selection, and practical tips for iterative refinement and context building.

AI generationChatGPTControlNet
0 likes · 15 min read
Prompt Engineering Secrets: Text‑to‑Image, Article & Code Generation with AI
Architect
Architect
Feb 18, 2023 · Artificial Intelligence

Paradigm Shifts in Large Language Models: From Pre‑training to AGI and Future Research Directions

The article reviews the evolution of large language models, highlighting two major paradigm shifts after GPT‑3, the role of scaling laws, knowledge acquisition, prompting techniques, reasoning abilities, and outlines future research priorities for building more capable and efficient AI systems.

AI reasoningPrompt EngineeringSparse Transformers
0 likes · 71 min read
Paradigm Shifts in Large Language Models: From Pre‑training to AGI and Future Research Directions
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 10, 2023 · Artificial Intelligence

How ChatGPT Is Reshaping Engineering: Insights, Risks, and Opportunities

After the 2022 breakthrough of ChatGPT, the author reviews key AI resources, examines ChatGPT’s strengths and limitations, and explores how AI is transforming front‑end development, data analysis, and product workflows, offering practical advice for engineers to adapt and leverage these emerging capabilities.

Artificial IntelligenceChatGPTPrompt Engineering
0 likes · 19 min read
How ChatGPT Is Reshaping Engineering: Insights, Risks, and Opportunities
DataFunTalk
DataFunTalk
Jan 10, 2023 · Artificial Intelligence

Paradigm Shifts in Large Language Model Research and Future Directions

The article reviews the evolution of large language models from the pre‑GPT‑3 era to the present, analyzes the conceptual and technical gaps between Chinese and global research, and outlines key future research directions such as scaling laws, prompting techniques, multimodal training, and efficient model architectures.

AI researchChatGPTLLM
0 likes · 73 min read
Paradigm Shifts in Large Language Model Research and Future Directions
21CTO
21CTO
Jan 3, 2023 · Artificial Intelligence

Inside GitHub Copilot: How Prompts, Models, and Telemetry Really Work

A University of Illinois researcher reverse‑engineers GitHub Copilot, revealing how its VS Code extension builds complex prompts, selects models, manages telemetry, and decides which suggestions to display, while exposing configuration details, prompt‑engineering pipelines, model calls, and privacy implications for developers.

GitHub CopilotModel InternalsPrompt Engineering
0 likes · 19 min read
Inside GitHub Copilot: How Prompts, Models, and Telemetry Really Work
Architecture Digest
Architecture Digest
Dec 8, 2022 · Artificial Intelligence

10 Amazing Ways to Use ChatGPT: Debugging, Security, Virtual Machines, and More

The article showcases ten impressive applications of OpenAI's ChatGPT—from debugging code and detecting security flaws to simulating a Linux terminal, generating nmap scans, reverse‑engineering shellcode, and highlighting its limitations—illustrating how the AI’s capabilities are only bounded by the user’s imagination.

Artificial IntelligenceChatGPTPrompt Engineering
0 likes · 9 min read
10 Amazing Ways to Use ChatGPT: Debugging, Security, Virtual Machines, and More
ITPUB
ITPUB
Feb 3, 2021 · Artificial Intelligence

Can GPT‑3 Write Complex SQL Queries? A Hands‑On Exploration

This article demonstrates how GPT‑3 can translate plain‑English questions into SQL statements, starting with simple counts and progressing to multi‑table joins, while highlighting prompting techniques, limitations, and the impact of model variants such as GPT‑3 Instruct.

AI-generated codeDatabase AutomationGPT-3
0 likes · 7 min read
Can GPT‑3 Write Complex SQL Queries? A Hands‑On Exploration