#AI application
6540 related articles
·1 min
NVIDIA's Guide to Building Financial Transaction Foundation Models: From Pre-training to Downstream Applications
Deep dive into NVIDIA's guide for building financial transaction foundation models, covering representation learning, Transformer pre-training, distributed GPU training, and fine-tuning for fraud detection and credit assessment.
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·3 min
The Complete Skill Map for AI Application Engineers: A Progressive Roadmap from Fundamentals to Production
A systematic breakdown of the complete skill structure for AI application engineers, covering Python & deep learning fundamentals, small model engineering, LLM fine-tuning, Agent development, and enterprise projects.
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·3 min
Java Developer's Guide to AI Application Development: From Spring AI to Intelligent Customer Service
A comprehensive guide for Java developers transitioning to AI application development, covering Spring AI, RAG, Function Calling, and a hands-on airline intelligent customer service project.
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·2 min
The 4-Stage Roadmap for AI Application Development: A Career Transition Guide from Beginner to Senior Engineer
A 4-stage roadmap for AI application development: from Python and RAG basics to Agent cluster architecture, covering the core skills needed for career growth.
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·3 min
AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning
Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.
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·3 min
What Is Dify? Core Features and Getting Started Guide for the Open-Source AI Application Platform
A deep dive into Dify, the open-source AI app development platform — covering core features, Coze comparison, enterprise use cases, and a learning roadmap.
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·3 min
Codex MCP Getting Started Guide: Configuration Methods and Practical Applications Explained
A detailed guide to Codex MCP (Model Context Protocol): core concepts, two server types, configuration methods, and practical applications to help developers get started quickly.
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·3 min
The Complete Guide to Claude Code: Five Stages of AI Programming Tools & Practical Applications
A deep dive into Claude Code's positioning and use cases, covering the five evolutionary stages of AI programming tools from traditional coding to autonomous agents.
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·3 min
Java Developer's Guide to AI Application Development: Career Path, Skills, and Hands-On Strategy
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
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·3 min
LangChain from Beginner to Agent Development: A Complete Learning Path for LLM Application Development
A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.
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·2 min
ViBench: A Benchmark Designed Specifically for Evaluating AI Application Building Capabilities
Deep dive into ViBench, a benchmark addressing SWE-bench's gaps in evaluating AI application building through end-to-end generation, visual quality, and functional completeness.
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·3 min
Firebase Integrates with AI Studio: Four Core Capabilities for Production-Grade Agent Applications
Deep dive into Google Firebase's integration with AI Studio, covering four core capabilities—database auto-configuration, authentication, security rules drafting, and zero-config deployment—for production-grade AI agent apps.
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Tutorials·3 min
Complete Google AI Studio Tutorial: Interface Configuration, Model Selection & Hands-On Applications
Complete guide to Google AI Studio covering interface layout, API setup, Gemini model selection, parameter tuning, and hands-on use cases for Build, image generation, video creation, and music.
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Tutorials·2 min
Complete Guide to the Coze Platform: Build AI Applications with Zero Code
A comprehensive guide to Coze (扣子) by ByteDance: learn about agents, workflows, plugins, model selection, and resource credits to build AI apps with zero code.
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Tutorials·3 min
Frontend AI Full-Stack Development in Practice: Building Multimodal Applications with PNPM MonoRepo Architecture
A practical guide to frontend AI full-stack development covering PNPM MonoRepo architecture, TurboRepo build optimization, and LangChain multimodal applications with Ollama local model deployment.
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Tutorials·3 min
Java Full-Stack Beginner's Guide: Application Domains, Three Major Platforms & Learning Path Explained
A beginner's Java full-stack guide covering Java's origins, real market position, enterprise server-side strengths, Java SE/EE/ME platforms, and a complete learning path from basics to full-stack.
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Tutorials·3 min
Review of a 648-Episode Complete Python Tutorial: Is It Worth Learning from Zero to AI Applications?
In-depth review of a 648-episode Python tutorial on Bilibili, analyzing its three-stage course structure, resource quality, and learning effectiveness with practical study tips for beginners.
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Tutorials·2 min
Dify 1.8.0 Hands-On Tutorial: Complete Guide from Deployment to Building AI Applications
A detailed guide to Dify 1.8.0 Docker deployment, environment setup, and AI app building. Covers five app types, comparisons with Coze, workflow creation, and more for this open-source AI platform.
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Tutorials·3 min
Practical Guide to Building Multi-Agent Collaborative Applications with CrewAI + FastAPI
Learn how to build a multi-Agent collaborative system with CrewAI and FastAPI. Covers Agent, Task, Crew concepts, GPT/Tongyi Qianwen/Ollama integration, with complete code examples and model comparisons.
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Tutorials·3 min
The Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
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