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Tencent Advertising Technology
Tencent Advertising Technology
Oct 14, 2024 · Artificial Intelligence

Generative Retrieval Based on Yuan Large Model: Implementation and Practice in Tencent Advertising

This paper presents the implementation and practice of generative retrieval based on Yuan large model in Tencent Advertising, addressing three key challenges: user intent capture, model alignment in advertising domain, and high-performance platform design under ROI constraints.

Generative RetrievalHigh‑performance computingModel Optimization
0 likes · 17 min read
Generative Retrieval Based on Yuan Large Model: Implementation and Practice in Tencent Advertising
Architect
Architect
Oct 7, 2024 · Artificial Intelligence

Master Prompt Engineering: A Universal Framework for Building Effective LLM Prompts

This article presents a systematic, four‑part Prompt engineering framework—role definition, problem description, goal setting, and requirement specification—augmented with RAG, few‑shot examples, memory handling, and model‑parameter tuning, enabling developers to craft high‑quality prompts for large language models across diverse tasks.

Few‑Shot LearningModel ParametersPrompt engineering
0 likes · 28 min read
Master Prompt Engineering: A Universal Framework for Building Effective LLM Prompts
21CTO
21CTO
Sep 30, 2024 · Artificial Intelligence

How LLM‑Powered IDEs Can Cut Your Coding Time in Half

Using an LLM-powered IDE, the author built a full‑stack weekend project without writing a single line of code, discovering faster development cycles, new debugging habits, and the strengths and limits of AI assistants compared to traditional Google searches.

AI CodingDebuggingLLM
0 likes · 10 min read
How LLM‑Powered IDEs Can Cut Your Coding Time in Half
Tencent Cloud Developer
Tencent Cloud Developer
Sep 27, 2024 · Artificial Intelligence

A Comprehensive Prompt Engineering Framework: Universal Templates, RAG, Few‑Shot, Memory, and Automated Optimization

The article presents a universal four‑part prompt template—role, problem description, goal, and requirements—augmented with role definitions, RAG‑based knowledge retrieval, few‑shot examples, memory handling, temperature/top‑p tuning, and automated optimization techniques such as APE, APO, and OPRO, enabling developers to reliably craft high‑quality prompts for LLMs.

AI Prompt OptimizationFew‑Shot LearningPrompt engineering
0 likes · 26 min read
A Comprehensive Prompt Engineering Framework: Universal Templates, RAG, Few‑Shot, Memory, and Automated Optimization
Huolala Tech
Huolala Tech
Sep 26, 2024 · Artificial Intelligence

How LLM-Powered AI Assistants Transform Logistics Operations

This article details Huolala's exploration of large‑language‑model (LLM) based AI assistants across multiple business scenarios, describing their architecture, implementation challenges, prompt engineering techniques, and the progressive stages from professional assistants to multi‑agent systems that drive efficiency and innovation in logistics.

AI AssistantLLMMulti-Agent
0 likes · 12 min read
How LLM-Powered AI Assistants Transform Logistics Operations
phodal
phodal
Sep 8, 2024 · Artificial Intelligence

Why Prompts Should Be Treated as Code: Engineering the Future of AI Agents

The article explores how prompts have evolved from simple text cues into executable, shareable agents, outlining engineering best practices, DSL‑plus‑runtime architecture, and the Shire Run platform that enables downloading, sharing, and future online execution of AI‑driven smart agents.

AI IDEDSLExecutable Prompts
0 likes · 9 min read
Why Prompts Should Be Treated as Code: Engineering the Future of AI Agents
iKang Technology Team
iKang Technology Team
Sep 5, 2024 · Artificial Intelligence

What Is LangChain? Overview, Core Advantages, Components, and Use Cases

LangChain is a modular framework that streamlines integration of large language models by providing unified model interfaces, prompt optimization, memory handling, indexing, chains, and agents, enabling developers to quickly build and deploy sophisticated NLP applications such as text generation, information extraction, and dynamic tool‑driven workflows across various industries.

AI FrameworkChainsLLM
0 likes · 6 min read
What Is LangChain? Overview, Core Advantages, Components, and Use Cases
Data Thinking Notes
Data Thinking Notes
Sep 1, 2024 · Artificial Intelligence

Master LLMs: Basics, Prompt Engineering, RAG, Agents & Multimodal AI

This article provides a comprehensive overview of large language models, covering their fundamental concepts, historical milestones, parameter scaling, prompt engineering techniques, retrieval‑augmented generation, autonomous agents, and multimodal model applications, illustrating how these technologies reshape AI capabilities across domains.

AI agentsLLMPrompt engineering
0 likes · 22 min read
Master LLMs: Basics, Prompt Engineering, RAG, Agents & Multimodal AI
Efficient Ops
Efficient Ops
Aug 28, 2024 · Artificial Intelligence

How Large Language Models Are Revolutionizing Banking Regulatory Interpretation

This article explores how AI-powered large language models enable Chinese commercial banks to automate, accurately match, and predict regulatory requirements, detailing new use‑cases, a prompt‑engineering framework, and the resulting efficiency and risk‑reduction benefits for the financial sector.

AIBankingPrompt engineering
0 likes · 7 min read
How Large Language Models Are Revolutionizing Banking Regulatory Interpretation
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 23, 2024 · Artificial Intelligence

Mastering Prompt Engineering: Advanced Techniques from Top AI Labs

This comprehensive guide examines cutting‑edge prompt‑engineering strategies—covering clear instruction design, role‑playing, separators, step‑by‑step workflows, external tools, systematic testing, and case studies from Anthropic, Google, and practical Img2Code applications—to help developers achieve more accurate and powerful interactions with large language models.

AI DevelopmentModel EvaluationPrompt engineering
0 likes · 21 min read
Mastering Prompt Engineering: Advanced Techniques from Top AI Labs
DaTaobao Tech
DaTaobao Tech
Aug 19, 2024 · Frontend Development

Challenges and Solutions in AI-Powered Front-End Code Generation for B2C Platforms

The article details how Taobao’s AI team automated repetitive UI tasks for B2C front‑end development, achieving a 15 % efficiency gain across five projects, and outlines key challenges—prompt cost, low OCR accuracy, hallucinations, excess nodes, and customization variance—along with practical solutions such as a dedicated evaluation platform, OCR translation, model upgrades, prompt segmentation, output simplification, and a reusable component library.

AICode GenerationPrompt engineering
0 likes · 9 min read
Challenges and Solutions in AI-Powered Front-End Code Generation for B2C Platforms
21CTO
21CTO
Aug 17, 2024 · Artificial Intelligence

Understanding Large Language Models: Training, Uses, and a Llama 3 Code Demo

This article explains what large language models (LLMs) are, how they are trained, their diverse applications across industries, the challenges they face, and provides a practical Python example using Replicate to run Meta's Llama 3‑70b‑instruct model.

AILLMPrompt engineering
0 likes · 11 min read
Understanding Large Language Models: Training, Uses, and a Llama 3 Code Demo
Architect
Architect
Aug 2, 2024 · Artificial Intelligence

Building AI‑Native Applications with Spring AI: A Complete Tutorial

This article explains how to quickly develop an AI‑native application using Spring AI, covering core features such as chat models, prompt templates, function calling, structured output, image generation, embedding, vector stores, and Retrieval‑Augmented Generation (RAG), and provides end‑to‑end Java code examples for building a simple AI‑driven service.

AI-nativeBackendFunction Calling
0 likes · 40 min read
Building AI‑Native Applications with Spring AI: A Complete Tutorial
Tencent Cloud Developer
Tencent Cloud Developer
Jul 30, 2024 · Artificial Intelligence

A Systematic Guide to Prompt Engineering: From Zero to One

This guide walks readers from beginner to proficient Prompt Engineer by outlining the evolution of prompting, introducing a universal four‑component template, and detailing a five‑step workflow—including refinement, retrieval‑augmented generation, chain‑of‑thought reasoning, and advanced tuning techniques—plus evaluation metrics for LLM performance.

AI promptingLLM optimizationPrompt engineering
0 likes · 51 min read
A Systematic Guide to Prompt Engineering: From Zero to One
DevOps
DevOps
Jul 21, 2024 · Artificial Intelligence

LLM Fundamentals, Applications, Prompt Engineering, RAG, and Agentic Workflows

This article provides a comprehensive overview of large language models (LLMs), covering their basic concepts, relationship with NLP, development history, parameter scaling, offline deployment, practical applications, prompt‑engineering frameworks, retrieval‑augmented generation, LangChain integration, agents, workflow orchestration, and future directions toward multimodal AI and AGI.

AI applicationsAgentLLM
0 likes · 36 min read
LLM Fundamentals, Applications, Prompt Engineering, RAG, and Agentic Workflows
Tencent Cloud Developer
Tencent Cloud Developer
Jul 18, 2024 · Artificial Intelligence

Exploring Large Language Models (LLM): Fundamentals, Applications, and Future Directions

Exploring Large Language Models, this article surveys their core concepts, evolution through Transformers, GPT and BERT, generation challenges, diverse applications such as QA, multimodal creation, summarization and retrieval‑augmented generation, prompt‑engineering frameworks and tools, LangChain‑based pipelines, AI‑driven agents, and future prospects toward domain‑specific use, multimodality, and AGI.

AIAgentLLM
0 likes · 35 min read
Exploring Large Language Models (LLM): Fundamentals, Applications, and Future Directions
Java Tech Enthusiast
Java Tech Enthusiast
Jul 16, 2024 · Artificial Intelligence

LLMs Misjudge Simple Number Comparison: 9.11 vs 9.9

Recent tests reveal that popular large language models—including GPT‑4o, Gemini Advanced, and Claude 3.5—often claim 9.11 is larger than 9.9 because their tokenizers split the numbers, but rephrasing, zero‑shot chain‑of‑thought prompts, or treating the values as floating‑point numbers can correct the mistake, a pattern also seen variably in Chinese models.

AI EvaluationLLMPrompt engineering
0 likes · 7 min read
LLMs Misjudge Simple Number Comparison: 9.11 vs 9.9
JD Cloud Developers
JD Cloud Developers
Jul 9, 2024 · Artificial Intelligence

How to Use Stable Diffusion for High‑Quality Promotional Images

Learn how to harness AI-powered Stable Diffusion models—via web UI, online platforms, or desktop apps—to create high‑quality promotional graphics, covering model types, samplers, seed settings, prompt crafting, weighting, and post‑processing techniques such as inpainting and upscaling.

AI image generationImage UpscalingPrompt engineering
0 likes · 11 min read
How to Use Stable Diffusion for High‑Quality Promotional Images
DataFunTalk
DataFunTalk
Jul 7, 2024 · Artificial Intelligence

Large Model Application Development: Architecture, Lifecycle, and Prompt Engineering

This article presents a comprehensive knowledge map for developing large‑model applications, covering a four‑layer technical architecture, the full development lifecycle, core elements such as prompt engineering and model fine‑tuning, evaluation methods, and practical case studies, offering guidance for both enterprises and startups.

AI application developmentLarge ModelPrompt engineering
0 likes · 15 min read
Large Model Application Development: Architecture, Lifecycle, and Prompt Engineering
DataFunTalk
DataFunTalk
Jul 2, 2024 · Artificial Intelligence

Application of Large Language Models in Recommendation Systems: Overview and Future Directions

This article provides a comprehensive overview of how large language models (LLMs) are applied in recommendation systems, covering two main paradigms—LLM+RS as a component and LLM as a standalone recommender—detailing their impact on pre‑training, fine‑tuning, prompting, and future research challenges.

Fine-tuningFuture DirectionsLLM
0 likes · 6 min read
Application of Large Language Models in Recommendation Systems: Overview and Future Directions
Baidu Geek Talk
Baidu Geek Talk
Jun 26, 2024 · Artificial Intelligence

Build a Conversational 24‑Point Game with Baidu AppBuilder’s AI Agent

This guide walks through the complete workflow of creating an AI‑native 24‑point game using Baidu Cloud's AppBuilder, covering the three‑step methodology, Agent architecture, component design, custom workflow implementation, and practical tips for optimal model selection.

24-point gameAI native appAgent Architecture
0 likes · 14 min read
Build a Conversational 24‑Point Game with Baidu AppBuilder’s AI Agent
Architecture and Beyond
Architecture and Beyond
Jun 23, 2024 · Artificial Intelligence

AI Programming Paradigms Unveiled: Visual ComfyUI Workflows and LangChain LLM Apps

The article examines two emerging AI programming paradigms—visual, node‑based development with ComfyUI for image generation and modular LLM application construction with LangChain—detailing their architectures, key components, workflow examples, advantages, limitations, and practical guidance for leveraging these tools to boost development efficiency in the rapidly evolving AI landscape.

AIComfyUILLM applications
0 likes · 20 min read
AI Programming Paradigms Unveiled: Visual ComfyUI Workflows and LangChain LLM Apps
Code Mala Tang
Code Mala Tang
Jun 21, 2024 · Artificial Intelligence

How AI Turns UI Screenshots into Ready‑to‑Edit Front‑End Code

This article explains the Screenshot‑to‑Code project, detailing how AI‑driven image recognition converts UI screenshots into editable HTML, CSS, and JavaScript, describes the front‑end (React + Vite + Radix‑UI) and back‑end (Python + Poetry) architecture, showcases prompt engineering, and provides step‑by‑step setup instructions.

AI code generationPrompt engineeringPython Backend
0 likes · 14 min read
How AI Turns UI Screenshots into Ready‑to‑Edit Front‑End Code
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 20, 2024 · Artificial Intelligence

Build Your Own AI Image Editing Assistant with Alibaba Cloud PAI‑DSW

This guide walks you through using Alibaba Cloud's PAI‑DSW and the Free Prompt Editing algorithm to set up a personal AI‑generated content (AIGC) drawing assistant, covering environment setup, instance creation, WebUI parameter tuning, example edits, resource cleanup, and how to share your creations for rewards.

AIGCAlibaba CloudPAI-DSW
0 likes · 6 min read
Build Your Own AI Image Editing Assistant with Alibaba Cloud PAI‑DSW
Architecture & Thinking
Architecture & Thinking
Jun 19, 2024 · Artificial Intelligence

Build AI‑Native Apps Quickly with Spring AI: From Chat Models to RAG

This guide explains what an AI‑native application is, compares AI‑native and AI‑based approaches, and walks through Spring AI’s core features—including chat models, prompt templates, function calling, structured output, image generation, embedding, and vector stores—showing step‑by‑step code examples and how to assemble a complete AI‑native app with RAG support.

AI native applicationFunction CallingJava
0 likes · 43 min read
Build AI‑Native Apps Quickly with Spring AI: From Chat Models to RAG
JD Tech
JD Tech
Jun 19, 2024 · Artificial Intelligence

Advances in Large AI Models: Prompt Engineering, RAG, Agents, Fine‑Tuning, Vector Databases and Knowledge Graphs

This article surveys the rapid expansion of large AI models, covering prompt engineering, structured prompts, retrieval‑augmented generation, AI agents, fine‑tuning strategies, vector database technology, knowledge graphs, function calling, and their collective role in moving toward artificial general intelligence.

AIAgentFine‑tuning
0 likes · 23 min read
Advances in Large AI Models: Prompt Engineering, RAG, Agents, Fine‑Tuning, Vector Databases and Knowledge Graphs
DataFunTalk
DataFunTalk
Jun 17, 2024 · Artificial Intelligence

AI Agent Applications and Architecture in the 1688 E‑commerce Platform

This article summarizes the exploration of AI agents on the 1688 e‑commerce platform, covering the value of large language models, the agent solution architecture, deployment strategies, multi‑turn interaction design, AI‑driven innovation paradigms, and future planning discussed at DataFunCon 2024.

AI AgentDeploymentMulti‑turn Interaction
0 likes · 26 min read
AI Agent Applications and Architecture in the 1688 E‑commerce Platform
ShiZhen AI
ShiZhen AI
Jun 11, 2024 · Artificial Intelligence

Adding “Concise” to Prompts Cuts AI Costs by Over 20%

The article covers a global AI beauty contest, Microsoft’s security upgrades to its Recall device, step‑by‑step activation of ChatGPT’s background‑conversation mode, and a Johns Hopkins study showing that adding a “concise” instruction to prompts can slash AI response length by half and reduce API costs by more than 20% with little loss of accuracy.

AIAI-generated modelsChatGPT
0 likes · 4 min read
Adding “Concise” to Prompts Cuts AI Costs by Over 20%
DataFunSummit
DataFunSummit
Jun 10, 2024 · Artificial Intelligence

Xiaomi Agent Technology: Architecture, Prompt Management, and Evaluation

This article presents Xiaomi's work on LLM‑based Agent technology, covering its perception‑thinking‑action pipeline, technical framework, prompt management, executor and API platform, workflow, optimization strategies, evaluation metrics, and future directions for AI assistants.

AI AssistantAgentLLM
0 likes · 17 min read
Xiaomi Agent Technology: Architecture, Prompt Management, and Evaluation
Bilibili Tech
Bilibili Tech
Jun 7, 2024 · Artificial Intelligence

AI Development for Frontend Developers: From Basics to Agent Implementation

This article guides frontend developers through AI development, comparing model training, fine‑tuning, prompt engineering, and Retrieval‑Augmented Generation, then explains agent creation via ReAct and tool‑call methods, and showcases Langchain and Flowise as low‑code frameworks for building domain‑specific AI agents.

AI DevelopmentAgentFlowise
0 likes · 13 min read
AI Development for Frontend Developers: From Basics to Agent Implementation
Aikesheng Open Source Community
Aikesheng Open Source Community
Jun 6, 2024 · Artificial Intelligence

Mastering ChatGPT Prompts and AI Assistant Techniques for Workplace Productivity

This article explores the rapid rise of ChatGPT, explains how to craft effective prompts using a role‑background‑task‑output formula, demonstrates its applications in writing, style transformation, and various professional scenarios, and introduces a new book and community giveaway related to AI assistants.

AI productivityAIGCChatGPT
0 likes · 10 min read
Mastering ChatGPT Prompts and AI Assistant Techniques for Workplace Productivity
Sohu Tech Products
Sohu Tech Products
Jun 5, 2024 · Artificial Intelligence

Retrieval Augmented Generation (RAG): Concepts, Workflow, and LangChain Implementation

The article outlines LLM issues such as hallucination, outdated knowledge, and data privacy, then explains Retrieval‑Augmented Generation—detailing its data‑preparation and query‑time retrieval workflow, demonstrates a full LangChain implementation, and contrasts RAG with fine‑tuning as complementary strategies for up‑to‑date, grounded responses.

LLMLangChainPrompt engineering
0 likes · 15 min read
Retrieval Augmented Generation (RAG): Concepts, Workflow, and LangChain Implementation
JavaEdge
JavaEdge
Jun 5, 2024 · Artificial Intelligence

Step‑by‑Step Guide to Building a Name‑Generator with LangChain and OpenAI

This tutorial walks through installing LangChain, creating an LLM with either self‑hosted or third‑party models, designing custom prompt templates, configuring output parsers for structured results, and running a complete Python example that generates culturally specific names using OpenAI's API.

LLMLangChainOpenAI
0 likes · 8 min read
Step‑by‑Step Guide to Building a Name‑Generator with LangChain and OpenAI
Zhixing ZXD Design Center
Zhixing ZXD Design Center
May 28, 2024 · Artificial Intelligence

How AIGC Is Revolutionizing Visual Design: Insights from the ZXD Team

This report examines the rapid rise of AI‑generated content (AIGC) in visual design since early 2023, detailing tool adoption, usage patterns across design roles, practical applications, case studies, knowledge accumulation, and the challenges and future outlook for integrating AI into design workflows.

AI toolsAIGCCase Studies
0 likes · 8 min read
How AIGC Is Revolutionizing Visual Design: Insights from the ZXD Team
CSS Magic
CSS Magic
May 16, 2024 · Artificial Intelligence

GPT-4o API Hands‑On Review: Blessing or Challenge for Developers?

The article evaluates GPT‑4o’s API by comparing its halved pricing, 50% higher token utilization, roughly double inference speed, and new prompt‑sensitivity quirks against GPT‑4‑Turbo and other models, then offers practical tips for integration and troubleshooting.

APIGPT-4oPrompt engineering
0 likes · 13 min read
GPT-4o API Hands‑On Review: Blessing or Challenge for Developers?
Baidu Geek Talk
Baidu Geek Talk
May 13, 2024 · Artificial Intelligence

Unveiling the Core Capabilities of Baidu Comate: An Intelligent Code Assistant

Baidu Comate, built on the Wenxin large model and embedded as an IDE plugin, delivers a 24/7 AI coding assistant that helps developers think, write, and review code through context‑aware generation, error fixing, test case creation, rapid sub‑600 ms responses, fill‑in‑the‑middle editing, prompt‑engineered personalization, AutoWork automation, and an open Comate+ platform for extensibility.

AI code assistantAI-driven developmentBaidu Comate
0 likes · 9 min read
Unveiling the Core Capabilities of Baidu Comate: An Intelligent Code Assistant
Baidu Tech Salon
Baidu Tech Salon
May 10, 2024 · Artificial Intelligence

Baidu Comate: Core Capabilities of Intelligent Code Assistant

The article surveys Baidu Comate, an AI‑powered code assistant built on the Wenxin (ERNIE) large model, tracing software development from the 1950s crisis through the internet and open‑source era to today’s AI‑driven tools, and highlights its features and demonstration at a global development conference.

AI CodingBaidu ComateIDE plugin
0 likes · 7 min read
Baidu Comate: Core Capabilities of Intelligent Code Assistant
DataFunSummit
DataFunSummit
May 10, 2024 · Artificial Intelligence

LLMOps: Definition, Fine‑tuning Techniques, Application Architecture, Challenges and Solutions

This article introduces LLMOps by defining large language model operations, explains the three stages of LLM development, details modern fine‑tuning methods such as PEFT, Adapter, Prefix, Prompt and LoRA, outlines the architecture for building LLM applications, discusses the main difficulties of agent‑based deployments, and presents practical solutions including Prompt IDE, low‑code deployment, monitoring and cost control.

AI OperationsFine-tuningLLMOps
0 likes · 14 min read
LLMOps: Definition, Fine‑tuning Techniques, Application Architecture, Challenges and Solutions
Baidu App Technology
Baidu App Technology
May 8, 2024 · Artificial Intelligence

How AI Can Auto‑Generate Standardized Git Commit Messages

This article details the design, implementation, and evaluation of an AI‑powered tool that automatically creates compliant Git commit messages by leveraging large language models, custom plugins, and performance‑focused optimizations to improve developer productivity and commit quality.

AIGitLLM
0 likes · 16 min read
How AI Can Auto‑Generate Standardized Git Commit Messages
Baidu Geek Talk
Baidu Geek Talk
May 6, 2024 · Artificial Intelligence

How AI is Revolutionizing Mobile Test Case Creation with QAMate

The QAMate project demonstrates how generative AI can automatically generate, record, and maintain mobile UI, API, and requirement‑based test cases, dramatically reducing manual effort, improving stability, and creating a data‑driven feedback loop that continuously upgrades testing quality.

AI testingData FlywheelMobile Automation
0 likes · 12 min read
How AI is Revolutionizing Mobile Test Case Creation with QAMate
DataFunSummit
DataFunSummit
May 6, 2024 · Artificial Intelligence

Advances, Model Types, and Open Challenges of AI‑Generated Content (AIGC) with XiaoBu’s Image Generation Progress

This article reviews the definition, key metrics, and major model families of AI‑generated content, details XiaoBu’s recent breakthroughs in image generation, and discusses open research problems such as evaluation gaps, transformer limitations, and the need for richer multimodal intelligence representations.

AIGCGANGenerative Models
0 likes · 14 min read
Advances, Model Types, and Open Challenges of AI‑Generated Content (AIGC) with XiaoBu’s Image Generation Progress
DataFunSummit
DataFunSummit
May 4, 2024 · Artificial Intelligence

Applications of Large Language Models in Recommendation Systems: Overview and Future Directions

This article provides a comprehensive overview of how large language models (LLMs) are integrated into recommendation systems, detailing two main paradigms—LLM as a component and LLM as a standalone system—while discussing their impact on retrieval, ranking, prompting, and outlining future research challenges such as multimodal recommendation, hallucination mitigation, bias reduction, and agent‑based approaches.

AIFuture DirectionsLLM
0 likes · 6 min read
Applications of Large Language Models in Recommendation Systems: Overview and Future Directions
IT Services Circle
IT Services Circle
May 1, 2024 · Artificial Intelligence

Summary of Andrew Ng’s AI Agent Talk: Models, Workflows, and Design Patterns

The article summarizes Andrew Ng’s presentation on AI agents, contrasting traditional single‑prompt large‑model usage with iterative agent‑based workflows, reporting experimental accuracy gains, and outlining four agent design patterns—reflection, tool use, planning, and multi‑agent collaboration—while discussing practical trade‑offs such as latency and token speed.

AI AgentDesign PatternsModel Evaluation
0 likes · 7 min read
Summary of Andrew Ng’s AI Agent Talk: Models, Workflows, and Design Patterns
21CTO
21CTO
Apr 29, 2024 · Artificial Intelligence

Fine‑Tuning vs. Context Learning: Building Apps with the Emerging LLM Tech Stack

This article explores how developers can integrate large language models into applications by comparing fine‑tuning and context learning, detailing each method’s advantages and drawbacks, and presenting a four‑layer LLM tech stack—data, model, orchestration, and operations—with practical tooling examples.

AI StackFine-tuningLLM
0 likes · 16 min read
Fine‑Tuning vs. Context Learning: Building Apps with the Emerging LLM Tech Stack
JavaEdge
JavaEdge
Apr 22, 2024 · Artificial Intelligence

Why Large Language Models Still Struggle and How to Fix Them

Large language models still suffer from limited memory, constrained context windows, outdated knowledge, inability to control external systems, and poor domain expertise, but the article outlines two main remedies—fine‑tuning (Model‑as‑a‑Service) and prompt‑engineering—detailing their mechanisms, suitable scenarios, and trade‑offs.

Fine-tuningLLMModel as a Service
0 likes · 9 min read
Why Large Language Models Still Struggle and How to Fix Them
Baidu Geek Talk
Baidu Geek Talk
Apr 22, 2024 · Artificial Intelligence

Designing Effective Prompts for Large Language Models: Structure, Code Examples, and Regex Extraction

The article presents a systematic prompt template—comprising Instruction, Input Data, Context, and Output Indicator—demonstrates code examples for single‑ and multi‑task formatting, shows how clear markers enable regex extraction, and introduces Baidu’s PaddlePaddle Star River Community to simplify building reliable LLM‑driven applications.

AICode ExamplePrompt engineering
0 likes · 13 min read
Designing Effective Prompts for Large Language Models: Structure, Code Examples, and Regex Extraction
21CTO
21CTO
Apr 22, 2024 · Artificial Intelligence

Run Llama 3 Locally on PC/Mac: Ollama, LM Studio & GPT4All Guide

This guide walks you through three practical methods—using Ollama, LM Studio, and GPT4All—to install and run the open‑source Llama 3 model locally on Windows, macOS, or Ubuntu, including command‑line usage, Python integration, and prompt‑engineering techniques for formatted outputs.

GPT4AllLM StudioLlama3
0 likes · 5 min read
Run Llama 3 Locally on PC/Mac: Ollama, LM Studio & GPT4All Guide
New Oriental Technology
New Oriental Technology
Apr 19, 2024 · Artificial Intelligence

Effective Prompt Engineering for Large Language Models

This article explains how large language models work, why well‑crafted prompts are essential, and presents practical strategies—such as clarity, conciseness, focus, role‑setting, delimiters, few‑shot examples, and step‑by‑step instructions—to help users obtain accurate and relevant responses from AI systems.

AILLM strategiesPrompt Design
0 likes · 12 min read
Effective Prompt Engineering for Large Language Models
DataFunTalk
DataFunTalk
Apr 13, 2024 · Artificial Intelligence

Integrating Generative AI with Business Intelligence: Design, Implementation, and Lessons from Baidu's ChatBI Platform

The article explores how generative AI transforms business intelligence by detailing BI's evolution, the ChatBI platform's architecture, NL2SQL challenges, performance and accuracy optimizations, and real‑world deployment outcomes that demonstrate reduced user barriers and enhanced analytical efficiency.

AIBusiness IntelligenceChatBI
0 likes · 13 min read
Integrating Generative AI with Business Intelligence: Design, Implementation, and Lessons from Baidu's ChatBI Platform
DataFunTalk
DataFunTalk
Apr 6, 2024 · Artificial Intelligence

Exploring Large Language Models for Recommendation Systems: Experiments and Insights

This article investigates how large language models can be applied to recommendation tasks, describing two usage strategies, various ranking approaches, experimental evaluations on multiple datasets, comparisons with traditional models, and analyses of prompt design, cost, and cold‑start capabilities.

LLMPrompt engineeringranking
0 likes · 13 min read
Exploring Large Language Models for Recommendation Systems: Experiments and Insights
dbaplus Community
dbaplus Community
Apr 4, 2024 · Artificial Intelligence

10 Guiding Principles for Building LLM‑Powered Software Applications

This article outlines ten practical principles for designing applications with large language models, emphasizing a model‑first mindset, precision through interactive disambiguation, clear division of code and model responsibilities, data quality, handling uncertainty, and recognizing the limits of LLMs to build robust, maintainable software.

AI designData QualityLLM
0 likes · 13 min read
10 Guiding Principles for Building LLM‑Powered Software Applications
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Mar 30, 2024 · Artificial Intelligence

Comprehensive Guide to Coze: AI Bot Development, Prompt Engineering, and Workflow Design

This article provides an in‑depth overview of the Coze low‑code AI bot platform, covering its core features, product comparisons, step‑by‑step bot creation, RAG implementation, plugin usage, memory mechanisms, cron jobs, agent design, advanced workflow techniques, quality management, and future prospects.

AI botCozeLLM
0 likes · 25 min read
Comprehensive Guide to Coze: AI Bot Development, Prompt Engineering, and Workflow Design
Sohu Tech Products
Sohu Tech Products
Mar 20, 2024 · Artificial Intelligence

Comparison of Base LLM and Instruction Tuned LLM

The diagram contrasts a Base LLM, which merely predicts the next word from training data and can continue stories or answer simple facts but may generate unsafe text, with an Instruction‑Tuned LLM that is fine‑tuned via RLHF to understand and follow commands, delivering more accurate, useful, and safe responses.

AIAI applicationsBASE model
0 likes · 7 min read
Comparison of Base LLM and Instruction Tuned LLM
Baobao Algorithm Notes
Baobao Algorithm Notes
Mar 17, 2024 · Artificial Intelligence

Why Role‑Playing LLMs Need More Than Assistant Fine‑Tuning

The article explains that current large language models lack true self‑awareness and act as assistants, so achieving convincing role‑playing behavior requires dedicated system prompts, specialized data, careful balance of continue pre‑training and general SFT, and evaluation methods to detect dissonance and preserve base capabilities.

AILLMPrompt engineering
0 likes · 19 min read
Why Role‑Playing LLMs Need More Than Assistant Fine‑Tuning
DataFunTalk
DataFunTalk
Mar 15, 2024 · Artificial Intelligence

Application of Agent Technology in Voice Assistant Scenarios

Senior algorithm engineer Qi Jianwei from Xiaomi presents a comprehensive overview of building a large‑model‑centric Agent framework for voice assistants, covering prompt design, information retrieval, RAG processes, and future optimization directions to enhance performance and stability.

AgentPrompt engineeringVoice Assistant
0 likes · 2 min read
Application of Agent Technology in Voice Assistant Scenarios
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Mar 10, 2024 · Artificial Intelligence

Building and Optimizing AI Bots with Coze: A Step‑by‑Step Low‑Code Guide

This article explains how to create, configure, and enhance AI bots on the Coze platform using a three‑step process, advanced workflow design, prompt engineering, and plugin integration, providing practical tips, code examples, and best‑practice recommendations for reliable content extraction and summarization.

AI botCozeKnowledge Base
0 likes · 18 min read
Building and Optimizing AI Bots with Coze: A Step‑by‑Step Low‑Code Guide
NewBeeNLP
NewBeeNLP
Mar 7, 2024 · Artificial Intelligence

How Sora is Redefining Large Vision Models: A Deep Dive into Technology, Limits, and Opportunities

This comprehensive review examines Sora, the first model capable of generating minute‑long, high‑quality videos from text, covering its historical background, core diffusion‑Transformer architecture, data preprocessing strategies, prompt engineering techniques, diverse applications, and the ethical and technical limitations that shape its future.

Multimodal AIPrompt engineeringSora
0 likes · 28 min read
How Sora is Redefining Large Vision Models: A Deep Dive into Technology, Limits, and Opportunities
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 6, 2024 · Artificial Intelligence

Unlocking LangChain: Build Powerful LLM Apps Like LEGO with Real-World Examples

This article explains how LangChain simplifies building and integrating large language model applications by providing modular components such as models, prompts, indexes, tools, memory, chains, and agents, illustrated with practical use cases like travel assistants, face‑recognition troubleshooting, and multi‑agent workflows.

AI agentsLLMLangChain
0 likes · 44 min read
Unlocking LangChain: Build Powerful LLM Apps Like LEGO with Real-World Examples
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 generationDesignOpenAI
0 likes · 9 min read
How OpenAI’s Sora Is Redefining AI‑Generated Video Creation
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 generationHugging FaceInstantID
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.

ChatGPTGPTsPrompt Bots
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.

AIAppBuilderNL2SQL
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 businessFine-tuningKubeAI
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 AgentDebuggingLLM
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.

Model AlignmentPrompt engineeringRAG
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.

AIPrivate Knowledge BasePrompt engineering
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