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Prompt Engineering

1341 articles · Page 13 of 14
58UXD
58UXD
Feb 27, 2024 · Artificial Intelligence

How OpenAI’s Sora Is Redefining AI‑Generated Video Creation

OpenAI’s newly released Sora model, built on the DALL‑E 3 foundation, can generate up to 60‑second high‑quality videos from text prompts, offering features such as multi‑character scenes, seamless video synthesis, image‑to‑video animation, physical world simulation, and prompting guidance for designers, while raising ethical and creative challenges.

AI video generationOpenAIPrompt Engineering
0 likes · 9 min read
How OpenAI’s Sora Is Redefining AI‑Generated Video Creation
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Feb 23, 2024 · Artificial Intelligence

Using ChatGPT for Dialogue Information Extraction: Prompt Design and Workflow

This article demonstrates how to leverage ChatGPT to automatically extract structured key information from conversational text by defining input keywords, crafting effective prompts, testing iterative refinements, and integrating the process into a Coze workflow that outputs clean JSON data.

AIPrompt Engineeringinformation extraction
0 likes · 8 min read
Using ChatGPT for Dialogue Information Extraction: Prompt Design and Workflow
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Feb 9, 2024 · Artificial Intelligence

How InstantID Generates High‑Fidelity Holiday Portraits in 30 Seconds

InstantID is a plug‑in adapter that adds identity‑preserving capabilities to text‑to‑image diffusion models, allowing users to upload a single photo and, within 30 seconds, produce a Spring Festival‑styled portrait with accurate facial features, customizable prompts, and strong text control.

AI image generationDiffusion ModelsHugging Face
0 likes · 7 min read
How InstantID Generates High‑Fidelity Holiday Portraits in 30 Seconds
CSS Magic
CSS Magic
Feb 8, 2024 · Artificial Intelligence

How to Build Custom GPTs: A Step‑by‑Step Guide to Their Core Capabilities

This article walks through the ChatGPT interface for creating custom GPTs, explains configuring basic information, details the five built‑in tools—knowledge base, web browsing, DALL·E image generation, code interpreter, and external API actions—and demonstrates each with concrete prompts and screenshots.

AI toolsCode interpreterCustom GPTs
0 likes · 14 min read
How to Build Custom GPTs: A Step‑by‑Step Guide to Their Core Capabilities
Cloud Native Technology Community
Cloud Native Technology Community
Feb 8, 2024 · Artificial Intelligence

How Retrieval‑Augmented Generation Boosts LLM Accuracy and Trust

Retrieval‑augmented generation (RAG) enhances large language models by fetching up‑to‑date, authoritative information from external sources, addressing hallucinations, outdated knowledge, and lack of citations, while offering cost‑effective implementation, improved relevance, user trust, and greater developer control through vector databases, semantic search, and prompt engineering.

AIPrompt EngineeringRAG
0 likes · 10 min read
How Retrieval‑Augmented Generation Boosts LLM Accuracy and Trust
DataFunSummit
DataFunSummit
Feb 3, 2024 · Artificial Intelligence

Practical Application of Large Language Models in MaShang Consumer Finance: From Model Building to Deployment

This article details how MaShang Consumer Finance leverages large language models for sales, collection, and customer service, covering company background, AI research achievements, model training infrastructure, data‑quality and compliance challenges, prompt engineering, inference acceleration, evaluation methods, and lessons learned from real‑world deployment.

Data QualityLLMModel Deployment
0 likes · 21 min read
Practical Application of Large Language Models in MaShang Consumer Finance: From Model Building to Deployment
CSS Magic
CSS Magic
Feb 2, 2024 · Artificial Intelligence

Four Steps to Master Advanced ChatGPT Customization

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.

ChatGPTCustom InstructionsGPTs
0 likes · 12 min read
Four Steps to Master Advanced ChatGPT Customization
Ximalaya Technology Team
Ximalaya Technology Team
Feb 1, 2024 · Artificial Intelligence

Understanding AI Image Generation: Diffusion Models, CLIP, and Control Techniques

This guide explains how AI image generators such as Stable Diffusion and DALL·E 3 turn text prompts into pictures by using diffusion models, CLIP‑aligned embeddings, and optional controls like negative prompts, fine‑tuned LoRA checkpoints and ControlNet conditioning, highlighting their differences, workflow, and practical customization.

AI image generationCLIPControlNet
0 likes · 18 min read
Understanding AI Image Generation: Diffusion Models, CLIP, and Control Techniques
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jan 31, 2024 · Artificial Intelligence

How Baidu Built an 80% Accurate AI-Powered Database Ops Knowledge Base

This article details Baidu Intelligent Cloud's database operations team’s end‑to‑end design of an AI‑driven knowledge‑base Q&A system, covering background, architecture, technical choices, module implementation, key challenges such as vector‑search recall and token limits, and real‑world deployment scenarios.

AIPrompt Engineeringvector database
0 likes · 18 min read
How Baidu Built an 80% Accurate AI-Powered Database Ops Knowledge Base
Baidu Geek Talk
Baidu Geek Talk
Jan 24, 2024 · Artificial Intelligence

Building AI‑Native Applications with Baidu Cloud AppBuilder

Sun Ke’s keynote at the 2023 Baidu Cloud Intelligence Conference explains how AI‑native development has shifted from model selection to building practical applications, and introduces Baidu Cloud AppBuilder—a three‑layer, low‑code‑and‑code platform that provides multimodal, LLM, and infrastructure services, enabling rapid prototyping of solutions such as automated resume screening and interview preparation.

AIAppBuilderLarge Language Model
0 likes · 12 min read
Building AI‑Native Applications with Baidu Cloud AppBuilder
DeWu Technology
DeWu Technology
Jan 22, 2024 · Artificial Intelligence

How to Integrate Business Systems with LLMs: Prompt, RAG, and Fine‑Tuning Strategies

This article outlines three practical approaches—direct prompting, retrieval‑augmented generation (RAG), and fine‑tuning—to connect enterprise applications to large language models, explains key prompt‑engineering techniques, details RAG workflow and vector‑database integration, and provides step‑by‑step guidance for fine‑tuning on the KubeAI platform.

AI for businessKubeAILLM integration
0 likes · 20 min read
How to Integrate Business Systems with LLMs: Prompt, RAG, and Fine‑Tuning Strategies
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jan 22, 2024 · Artificial Intelligence

Prompt Engineering and CAMEL: Role‑Playing AI Agents for Automated Prompt Generation

This article explains how Prompt Engineering combined with the CAMEL framework enables role‑playing AI agents to automatically generate and manage prompts, illustrates the concept with a stock‑trading example, and provides Python code using LangChain to build a marketing‑automation agent for a small business.

AI AgentsCAMELInception Prompting
0 likes · 11 min read
Prompt Engineering and CAMEL: Role‑Playing AI Agents for Automated Prompt Generation
JD.com Experience Design Center
JD.com Experience Design Center
Jan 5, 2024 · Artificial Intelligence

How IP-Adapter Revolutionizes Image Generation Beyond Traditional img2img

This article explores the IP-Adapter technique for Stable Diffusion, comparing it with conventional img2img, detailing its superior prompt integration, multi‑reference capabilities, workflow automation with ControlNet and ComfyUI, and how it enables instant LoRA creation for faster, more diverse AI‑generated images.

AI artControlNetIP-Adapter
0 likes · 9 min read
How IP-Adapter Revolutionizes Image Generation Beyond Traditional img2img
Qunar Tech Salon
Qunar Tech Salon
Dec 29, 2023 · Artificial Intelligence

Design and Implementation of an AI‑Powered Development Assistant for Internal Use

This article presents the design, implementation, and measured impact of an AI‑driven development assistant integrated into the IDE, detailing its features such as intelligent context filling, custom Prompt templates, quick error diagnosis, internal system integration, and smart code completion, while also discussing limitations of existing tools like Copilot and ChatGPT and outlining future development plans.

AIDevelopment AssistantIDE integration
0 likes · 18 min read
Design and Implementation of an AI‑Powered Development Assistant for Internal Use
Data Thinking Notes
Data Thinking Notes
Dec 24, 2023 · Artificial Intelligence

Boost Text2SQL Accuracy with AI Agents: A LangChain Practical Guide

This article explores how AI agents, particularly those built with LangChain, can enhance Text2SQL performance by decomposing queries, leveraging tools, memory, and planning, and provides practical code examples and future directions for developers.

AI AgentLangChainPrompt Engineering
0 likes · 16 min read
Boost Text2SQL Accuracy with AI Agents: A LangChain Practical Guide
Baidu Geek Talk
Baidu Geek Talk
Dec 20, 2023 · Artificial Intelligence

A Unified Platform for Prompt Development, Evaluation, and Iteration in Large Language Model Applications

The proposed unified platform centralizes prompt creation, evaluation, and iteration for large‑model applications, offering one‑stop hosting, metric‑driven testing, seamless resource integration, model switching, fine‑grained traffic control, and an automated data‑flywheel with QEP scoring, cutting optimization cycles from weeks to days while paving the way for advanced fine‑tuning techniques.

AI platformAutomationData Flywheel
0 likes · 17 min read
A Unified Platform for Prompt Development, Evaluation, and Iteration in Large Language Model Applications
37 Interactive Technology Team
37 Interactive Technology Team
Dec 18, 2023 · Frontend Development

Using LangChain to Automatically Generate Front‑End Code from Documentation

This guide shows how to use LangChain with OpenAI’s API, Puppeteer, and vector stores to automatically read local or web‑based API documentation, split and retrieve relevant text, and prompt an LLM to generate ready‑to‑use TypeScript front‑end code, highlighting setup, prompt design, and example outputs.

Front-end Code GenerationLangChainNode.js
0 likes · 15 min read
Using LangChain to Automatically Generate Front‑End Code from Documentation
Baidu MEUX
Baidu MEUX
Dec 13, 2023 · Artificial Intelligence

How AI‑Generated Images Supercharged Baidu App’s Ad Growth

This case study details how MEUX’s designers leveraged Stable Diffusion to mass‑produce high‑quality ad images for Baidu App, overcoming the scalability challenges of personalized advertising through prompt engineering, template design, and human‑AI collaboration.

AI-generated imagesPrompt EngineeringStable Diffusion
0 likes · 10 min read
How AI‑Generated Images Supercharged Baidu App’s Ad Growth
Data Thinking Notes
Data Thinking Notes
Dec 12, 2023 · Artificial Intelligence

Boosting Text‑to‑SQL Accuracy with Prompt Engineering and LLMs

This article examines the challenges of LLM‑based Text‑to‑SQL such as hallucinations, data‑security risks, and user input errors, and presents prompt‑engineering strategies, fine‑tuning comparisons, prompt types, code examples, and experimental results to improve reliability and cost‑effectiveness.

LLMLangChainPrompt Engineering
0 likes · 15 min read
Boosting Text‑to‑SQL Accuracy with Prompt Engineering and LLMs
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Dec 12, 2023 · Artificial Intelligence

How LangChain Powers AI Agents: Principles, Debugging, and Real‑World Optimizations

This article explains the concept of AI Agents in the large‑language‑model era, details LangChain's implementation mechanics, shares practical challenges and optimizations encountered by NetEase Cloud Music, and provides step‑by‑step code examples and performance insights for building robust AI Agents.

AI AgentLLMLangChain
0 likes · 20 min read
How LangChain Powers AI Agents: Principles, Debugging, and Real‑World Optimizations
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Dec 7, 2023 · Artificial Intelligence

How Alibaba Cloud’s PAI Breakthroughs Are Shaping AI at EMNLP 2023

Alibaba Cloud’s AI platform PAI had four papers accepted at EMNLP 2023, presenting advances in automatic prompt engineering for text‑to‑image, domain‑specific knowledge‑enhanced language models, cognitive‑tree reasoning with small LLMs, and cross‑lingual machine reading comprehension, all demonstrating cutting‑edge AI research and product integration.

Knowledge GraphsPrompt Engineeringartificial-intelligence
0 likes · 9 min read
How Alibaba Cloud’s PAI Breakthroughs Are Shaping AI at EMNLP 2023
Baidu Geek Talk
Baidu Geek Talk
Dec 6, 2023 · Industry Insights

From MLOps to LMOps: Challenges and Solutions for Large‑Model Operations

This article reviews the evolution from MLOps to LMOps, outlines the core concepts, challenges, and key technologies such as large‑model inference optimization, prompt engineering, and context‑length extension, and offers a forward‑looking perspective on the future of AI operations.

AI OperationsLMOpsMLOps
0 likes · 23 min read
From MLOps to LMOps: Challenges and Solutions for Large‑Model Operations
Baobao Algorithm Notes
Baobao Algorithm Notes
Dec 6, 2023 · Artificial Intelligence

How to Systematically Fix Bad Cases in Large Language Models

The article outlines a structured approach to identifying, categorizing, evaluating impact, and repairing undesirable responses from large language models, covering both model‑level interventions across training stages and practical inference‑time techniques such as parameter tuning, prompt engineering, RAG, and pre/post‑processing safeguards.

Prompt EngineeringRAGbad case remediation
0 likes · 9 min read
How to Systematically Fix Bad Cases in Large Language Models
HomeTech
HomeTech
Dec 1, 2023 · Artificial Intelligence

Building a Private Knowledge Base and Large‑Model Platform for Enterprise AI Assistants

This article describes how an enterprise leveraged GPT‑3.5 and other large language models to create a private knowledge base, design prompt engineering, implement plugin extensions, and build a secure, scalable backend and front‑end integration platform that enables AI‑driven customer‑service assistants across multiple business lines.

AILarge Language ModelPrivate Knowledge Base
0 likes · 19 min read
Building a Private Knowledge Base and Large‑Model Platform for Enterprise AI Assistants
58UXD
58UXD
Dec 1, 2023 · Artificial Intelligence

How AI‑Powered LoRA Techniques Supercharged a September Recruitment Campaign Design

This article details how 58.com’s design team leveraged AI tools such as Stable Diffusion, LoRA models, and prompt engineering to create a visually rich September recruitment landing page, outlining the project background, design strategy, technical exploration, and measurable results.

AI designLoRAPrompt Engineering
0 likes · 6 min read
How AI‑Powered LoRA Techniques Supercharged a September Recruitment Campaign Design
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Nov 16, 2023 · Artificial Intelligence

ChatGLM2 vs ChatGLM3: MQA, FlashAttention, and New Prompt Features

During the Saturday session, we reviewed ChatGLM2’s upgrades—Multi‑Query Attention and FlashAttention—demonstrated deployment on Ascend + ModelArts + MindSpore, and introduced ChatGLM3’s revamped prompt design, native tool‑calling and code‑interpreter capabilities, while previewing the next lecture on text‑generation decoding.

ChatGLM2ChatGLM3FlashAttention
0 likes · 6 min read
ChatGLM2 vs ChatGLM3: MQA, FlashAttention, and New Prompt Features
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Nov 14, 2023 · Artificial Intelligence

Fin2.0 AI‑Powered Design Assistant: Text‑to‑Image Generation, Prompt Engineering, and Practical Case Study

Fin2.0, NetEase Cloud Music’s AI‑driven design assistant, combines text‑to‑image, text‑to‑icon and text‑to‑copy generation with an internal Stable Diffusion engine and streamlined prompt templates, enabling non‑designers like a colleague to create high‑quality promotional banners in hours while avoiding external costs and data‑security risks.

AI-generated imagesAIGCDesign Automation
0 likes · 17 min read
Fin2.0 AI‑Powered Design Assistant: Text‑to‑Image Generation, Prompt Engineering, and Practical Case Study
Tencent Cloud Developer
Tencent Cloud Developer
Nov 2, 2023 · Artificial Intelligence

Reverse Engineering GitHub Copilot: Architecture and Implementation Analysis

The article reverse‑engineers GitHub Copilot’s VSCode extension, detailing how its webpack‑bundled JavaScript is unpacked, its registerGhostText entry point identified, and its prompt‑building, multi‑layer caching, debouncing, and Jaccard‑based similarity mechanisms operate, offering insights into AI‑assisted code completion design.

GitHub CopilotJaccard similarityPrompt Engineering
0 likes · 31 min read
Reverse Engineering GitHub Copilot: Architecture and Implementation Analysis
JD Retail Technology
JD Retail Technology
Oct 26, 2023 · Artificial Intelligence

Leveraging Large Language Models for Text-to-SQL: Prompt Design and End-to-End Pipeline

This article explains how large language models can be used to convert natural language queries into SQL statements, describes two main approaches—direct generation and fine‑tuned open‑source models—details prompt engineering techniques, and outlines an end‑to‑end pipeline that executes the generated SQL and summarizes results.

ChatGLMLLMPrompt Engineering
0 likes · 7 min read
Leveraging Large Language Models for Text-to-SQL: Prompt Design and End-to-End Pipeline
Tencent Tech
Tencent Tech
Oct 26, 2023 · Artificial Intelligence

Unlocking Tencent Hunyuan Text‑to‑Image: A Complete Guide and Prompt Tips

This guide introduces Tencent Hunyuan's upgraded text‑to‑image model, explains its technical innovations, provides detailed prompt engineering advice, showcases example prompts and generated images across various styles, and highlights real‑world applications and performance metrics for developers and creators.

AI generationPrompt EngineeringTencent Hunyuan
0 likes · 12 min read
Unlocking Tencent Hunyuan Text‑to‑Image: A Complete Guide and Prompt Tips
DaTaobao Tech
DaTaobao Tech
Oct 25, 2023 · Artificial Intelligence

Prompt Engineering, LLM Supervised Fine‑Tuning, and Mobile Tmall AI Assistant Application

The article explains prompt engineering techniques, supervised fine‑tuning of large language models, and their practical deployment in the Mobile Tmall AI shopping assistant, detailing ChatGPT’s generation steps, Transformer architecture, prompt clarity, delimiters, role‑play, few‑shot and chain‑of‑thought prompting, SFT versus pre‑training, LoRA adapters, data collection, Qwen‑14B training configuration, SDK‑based inference, and comprehensive evaluation.

AI assistantLLM fine-tuningModel Deployment
0 likes · 14 min read
Prompt Engineering, LLM Supervised Fine‑Tuning, and Mobile Tmall AI Assistant Application
ITPUB
ITPUB
Oct 20, 2023 · Artificial Intelligence

Boost Your Coding Workflow with Better ChatGPT Prompts: Summarize, Refactor, Test

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.

AI for DevelopersChatGPTPrompt Engineering
0 likes · 18 min read
Boost Your Coding Workflow with Better ChatGPT Prompts: Summarize, Refactor, Test
phodal
phodal
Oct 19, 2023 · Operations

Can LLMs Revolutionize Code Review? Inside AutoDev’s AI‑Powered Approach

The article examines how rising code volume and AI‑generated snippets challenge traditional code review, proposes an LLM‑assisted workflow using AutoDev and DevOpsGenius, details prompt design, commit filtering, and implementation steps, and discusses the benefits and limitations for different team roles.

AI AutomationLLMPrompt Engineering
0 likes · 9 min read
Can LLMs Revolutionize Code Review? Inside AutoDev’s AI‑Powered Approach
DataFunTalk
DataFunTalk
Oct 19, 2023 · Artificial Intelligence

Multimodal Large Model Platform: History, Architecture, and Practice by Nine Chapters Cloud Extreme DataCanvas

This article presents Nine Chapters Cloud Extreme DataCanvas's insights and practices on multimodal large model platforms, covering their historical development, platform components such as AI Foundation Software and Prompt Manager, practical implementations like memory-augmented models and ETL pipelines, and future prospects for enterprise knowledge bases and agents.

AI platformKnowledge BaseMultimodal AI
0 likes · 13 min read
Multimodal Large Model Platform: History, Architecture, and Practice by Nine Chapters Cloud Extreme DataCanvas
Zhuanzhuan Tech
Zhuanzhuan Tech
Oct 11, 2023 · Artificial Intelligence

Building a ChatGPT‑Based Intelligent Customer Service System with BERT Classification and Knowledge Filtering

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.

BERTChatGPTIntelligent Customer Service
0 likes · 16 min read
Building a ChatGPT‑Based Intelligent Customer Service System with BERT Classification and Knowledge Filtering
ByteFE
ByteFE
Oct 11, 2023 · Artificial Intelligence

CR Copilot: An Open‑Source LLM‑Based Code Review Assistant with Private Knowledge Base

This article describes the design and implementation of a code‑review assistant powered by open‑source large language models and a privately hosted knowledge base, covering background, pain points, system architecture, model selection, vector‑store integration, prompt engineering, diff parsing, and practical reflections.

AIKnowledge BaseLLM
0 likes · 24 min read
CR Copilot: An Open‑Source LLM‑Based Code Review Assistant with Private Knowledge Base
phodal
phodal
Sep 24, 2023 · Artificial Intelligence

Designing a JVM‑Based LLM Framework: Insights from Chocolate Factory

This article explores the design principles, architectural decisions, and practical code examples behind the Chocolate Factory framework, a JVM‑centric LLM development platform inspired by LangChain, LlamaIndex, Spring AI, and PromptFlow, highlighting SDK construction, RAG workflows, and prompt engineering challenges.

JVMLLMPrompt Engineering
0 likes · 11 min read
Designing a JVM‑Based LLM Framework: Insights from Chocolate Factory
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Sep 22, 2023 · Artificial Intelligence

Understanding Large Language Models and Prompt Engineering: A Practical Guide

This article provides an introductory overview of large language models (LLMs), compares popular models, explains their underlying principles, and offers practical guidance on prompt engineering, model evaluation, usage tips, and safety considerations, helping readers effectively select and apply LLMs in various scenarios.

AILLMPrompt Engineering
0 likes · 44 min read
Understanding Large Language Models and Prompt Engineering: A Practical Guide
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.

Business IntegrationFlutterGPT
0 likes · 10 min read
Leveraging GPT for Code Writing, Script Generation, and Business Integration
Baidu Tech Salon
Baidu Tech Salon
Sep 13, 2023 · Artificial Intelligence

How Baidu’s Wenxin Yiyan Powers AI Text Creation in Mobile Apps

This article explains the technical workflow behind Baidu App’s AI‑assisted text generation, covering large‑language‑model fundamentals, three‑layer system architecture, prompt design, risk‑control measures, SSE streaming, and a custom Android TextView implementation for smooth, gradient‑styled output.

AI text generationAndroid UILarge Language Model
0 likes · 13 min read
How Baidu’s Wenxin Yiyan Powers AI Text Creation in Mobile Apps
DaTaobao Tech
DaTaobao Tech
Sep 13, 2023 · Artificial Intelligence

Integrating Large Language Models with Recommendation Systems: Paradigms, Methods, and Experiments

The article surveys how large language models can be integrated into recommendation systems, either as feature extractors or as end‑to‑end recommenders, showing that LLM‑derived semantics improve recall, ranking, diversity, and user experience, and outlining future multimodal, efficiency, and re‑ranking directions.

EmbeddingLLMMultimodal
0 likes · 19 min read
Integrating Large Language Models with Recommendation Systems: Paradigms, Methods, and Experiments
Alipay Experience Technology
Alipay Experience Technology
Sep 12, 2023 · Artificial Intelligence

Demystifying ChatGPT: From Transformer Basics to Business Applications

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.

AI ApplicationsChatGPTLarge Language Model
0 likes · 28 min read
Demystifying ChatGPT: From Transformer Basics to Business Applications
High Availability Architecture
High Availability Architecture
Sep 12, 2023 · Frontend Development

AI‑Driven Development (AIDD) of a WeChat Mini‑Program Frontend

The article describes how the author used ChatGPT to generate over 5,000 lines of code for a WeChat mini‑program community app, outlining the AI‑Driven Development (AIDD) workflow, detailed login and post‑list module implementations, multiple iteration cycles, code snippets, and reflections on efficiency and reuse.

AI-driven developmentPrompt EngineeringWeChat Mini Program
0 likes · 13 min read
AI‑Driven Development (AIDD) of a WeChat Mini‑Program Frontend
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.

Knowledge BaseLangChainLlama 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.

AIKnowledge GraphsPrompt 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 AgentLLMLarge Language Model
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 EngineeringWorkflow Automation
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 EngineerCareerIndustry Trends
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
AI Large Model Application Practice
AI Large Model Application Practice
Aug 21, 2023 · Artificial Intelligence

Building an AI Sales Assistant: Enterprise LLM Architecture and Agent Workflow

This article outlines a practical enterprise architecture for integrating large language models into a sales assistant, detailing knowledge ingestion, vector embedding, task planning, tool usage, and iterative dialogue, while introducing AI Agent concepts and open‑source frameworks such as LangChain.

AI AgentEnterprise IntegrationLLM
0 likes · 10 min read
Building an AI Sales Assistant: Enterprise LLM Architecture and Agent Workflow
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 analyticsPrompt Engineeringknowledge taxonomy
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.

LLMPrompt Engineeringartificial-intelligence
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 DesignPrompt Engineering
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 ArchitectureChatGPTJava
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.

EvaluationModel ScalingPre‑training
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 DesignChatGPTLanguage Models
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.

Chain-of-ThoughtFew-shotLLM
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 EngineerAgent frameworkDomain-Driven Design
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.

Generative AIIn-Context LearningLLM
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.

Generative AIPrompt Engineeringaccessibility
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.

AgentsLLMLangChain
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.

EmbeddingLangChainPrompt Engineering
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.

AIChatbotLLM
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.

DeepKEKnowledge ExtractionLLM
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-shotHallucination
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.

LLMPrompt Engineeringcontext awareness
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.

APIEmbeddingLangChain
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