#computer vision tutorial
99 related articles
·6 min
Java Developer's Guide to AI Application Development: Building an Airline Intelligent Customer Service System
A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.
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·7 min
Andrew Ng Teams Up with LangChain: Core Principles of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.
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·7 min
Andrew Ng Teams Up with LangChain: Core Concepts of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase's AI Agents in LangGraph course covers five agent design patterns and LangGraph's graph-based framework for building cyclical AI workflows.
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·7 min
Claude Sonnet 5 Released: The Most Powerful Agent-Capable Mid-Tier AI Model
Anthropic releases Claude Sonnet 5, its most agentic mid-tier model with planning, browser/terminal tool use, and autonomous execution—bringing flagship Agent capabilities at significantly lower cost.
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·7 min
Claude Sonnet 5 Released: The Most Capable Agent Model at Mid-Tier Pricing
Anthropic releases Claude Sonnet 5, its most agentic Sonnet model yet. With planning, browser/terminal tool use, and autonomous execution, it brings flagship Agent capabilities to mid-tier pricing.
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·7 min
Getting Started with LangGraph Multi-Agent Development: Architecture Analysis and Three Practical Case Studies
Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.
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·4 min
Dify Local Deployment Tutorial: Build Your AI Application Development Platform from Scratch
Step-by-step guide to deploying Dify locally using BT Panel, covering VM setup, Ubuntu configuration, and Docker deployment for a private AI dev platform.
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·3 min
Deploy a Free AI Agent Locally: Build an All-in-One Assistant with Qwen 3.5 + Hormis
Learn how to deploy a free AI agent locally using Ollama + Qwen 3.5-9B + Hormis framework, enabling web scraping, desktop control, and file management on consumer hardware.
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·4 min
Three Modes of AI Development: A Complete Guide from Chat to Agent to IDE
A systematic guide to three AI development modes: chat-based, Agent, and AI IDE. Covers model selection, cost comparison, and use cases for beginners.
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·3 min
Three-Layer Workflow Optimization for Claude Code: Requirements Extraction, HTML Specs, and Embedded Verification in Practice
Anthropic engineer Arno shares a Claude Code workflow: AI-driven requirements extraction, HTML specs over Markdown, and DOM-embedded verification to boost AI-assisted coding efficiency.
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·4 min
Learn to Code with AI from Scratch: A Complete Learning Path from Beginner to Deployment
A complete learning path for coding with AI from scratch — from concepts and environment setup to using Cursor, Claude, and other AI tools to build and deploy your first project.
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·3 min
Karpathy's Advanced Claude Code Methodology: Building a Self-Evolving AI Work Environment
Karpathy's Claude Code methodology: build a self-evolving AI environment using CLAUDE.md, knowledge bases, Skills, and Hook guardrails for compounding efficiency.
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·3 min
Andrew Ng's Advanced AI Prompting Guide: Core Methods for Going from Beginner to Expert
Based on Andrew Ng's latest AI prompting tutorial, learn the core gaps between beginners and experts: providing context, overcoming sycophancy, iterative workflows, and four key principles.
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·2 min
Claude Code Practical Course Breakdown: From AI Programming Methodology to Autonomous Agent Building
Deep dive into a Claude Code AI programming course covering AFK autonomous Agent building, codebase optimization, and multi-stage Kanban management to enable efficient human-AI collaboration.
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·3 min
Compile First: Using AI to Revive the Dormant Files on Your Hard Drive
Explore how the open-source LLM Wiki project uses a compile-first paradigm to turn dormant local files into a searchable AI knowledge base, compared with traditional RAG approaches.
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·3 min
The Ultimate Guide to Squeezing Every Drop from Mythos/Fable: Burning Through $8,000 in Inference Credits in 10 Days
Deep dive into maximizing Anthropic's Fable/Mythos model: 5-hour limit workarounds, dual account rotation, multi-Agent orchestration, and Mac Mini remote deployment to get $8,000 of inference from a $200 subscription.
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·2 min
Andrej Karpathy Joins Anthropic: A Top AI Researcher Returns to the Frontier
Andrej Karpathy officially joins Anthropic. The former OpenAI co-founder and Tesla AI director returns to frontier LLM R&D, signaling a pivotal moment in AI.
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·3 min
The Complete Guide to DeepSeek TUI: Installation, Configuration, and Hands-On Use of a Terminal AI Coding Agent
A deep dive into DeepSeek TUI: the terminal AI coding agent with chain-of-thought visualization, million-token context, and multi-task parallelism. Covers installation, configuration, and real-world use cases.
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·4 min
A Beginner's Guide to Deep Agents: The Complete Evolution from Basic Agents to Deep Agents
A systematic guide covering the evolution from traditional AI agents to Deep Agents, including core architectures, four development stages, technical features, and practical developer guidance.
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·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
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