#Vision Transformer
626 related articles
·3 min
Vibe Coding Tutorial for Beginners: Three Steps from Idea to Product Launch
A complete Vibe Coding guide: use natural language to drive AI for product development — from ideation and PRD generation to UI design and code implementation. Build launchable products with zero coding skills.
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·2 min
What Signal Did Former Apple AI Chief Giannandrea Send by Appearing at WWDC?
Former Apple AI chief John Giannandrea appeared at WWDC as a VIP. This article analyzes the strategic signals behind this move and Apple's AI trajectory.
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·3 min
LFM2.5 Local Deployment Hands-On: An 8B Parameter Model That Outperforms GPT-o3s in Tool Calling
Hands-on test of Liquid AI's LFM2.5 local deployment: architecture breakdown, 16GB VRAM troubleshooting, and GraphRAG tool-calling benchmarks vs GPT-o3s.
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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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·3 min
Using AI Tools to Write Your Graduate Thesis: Completing Deep Learning Experiments Without a CS Background
How can non-CS graduate students use AI tools like Cursor to efficiently complete their thesis? A complete guide covering data sourcing, code adaptation, and AI-assisted modifications.
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·3 min
Claude Code Context Management in Practice: The Five-Layer Backpack and Token Optimization Principles
Deep dive into Claude Code's context mechanics: the five-layer backpack structure, 200K Token boundaries, three optimization strategies, and sub-agent isolation to cut Token costs and prevent AI degradation.
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·4 min
Harness Engineering: A New Software Development Paradigm Where Humans Steer and AI Agents Execute
OpenAI engineer Ryan Lopopolo introduces Harness Engineering — a methodology where humans build constraint systems and AI agents handle all code implementation.
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Complete Guide to Cursor AI's Seven Wo…
·4 min
Complete Guide to Cursor AI's Seven Work Modes: From Beginner to Power User
In-depth guide to Cursor AI's seven work modes: Plan, Debug, Multitask, Ask, Image, Skills, and MCP Servers, with practical demos and scenario selection tips.
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·3 min
Xi Yin Joins OpenAI: What It Means When Top Scientists Leave Universities
Harvard's youngest Chinese full professor Xi Yin reportedly joins OpenAI. His shift from string theory to AI reflects how compute is replacing talent as the core research resource.
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·4 min
Agent Beginner's Guide: Architecture Principles and Practical Efficiency Tips
A deep dive into AI Agent principles, core architecture, and practical applications. Learn how Agents differ from LLMs and how to leverage Agent Skills to boost productivity.
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·2 min
Three Key Narrative Threads Behind Siri's Reboot
Apple's Siri is undergoing its biggest reboot ever. Tim Cook sets AI strategy, Craig Federighi leads integration, and Mike Rockwell rebuilds Siri from the ground up.
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·4 min
Coze Workflow in Practice: Complete Tutorial for AI One-Click Product Promo Video Generation
Step-by-step guide to building a Coze workflow for AI product promo videos, integrating HappyHours and Jimeng across 12 nodes with nine-grid storyboards and polling loops.
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Deep Dive into the Three AI Programmin…
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Deep Dive into the Three AI Programming Frameworks: The Right Way to Do Specification-Driven Development
Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.
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·4 min
Can't Fill Out Prompt Templates Properly? The Four-Module Incremental Method Doubles Your AI Output Quality
Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.
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·4 min
Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
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·4 min
The Real Logic of Getting Rich with AI: Toolbox Thinking and the Three-Layer Capability Model
Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.
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·4 min
Real-World Comparison of Chinese AI Coding Models: Which One Best Generates a Complete E-Commerce System in One Shot?
Real-world test of six Chinese AI coding models — Qwen 3.7 Max, DeepSeek V4 Pro, MiniMax M3 and more — generating a complete e-commerce system, scored on UI, checkout flow, and backend management.
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·3 min
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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·4 min
The Five-Tier Pyramid of IT Careers in the AI Era: Your Position Determines Your Career Ceiling
AI is reshaping IT careers into a five-tier pyramid from tool usage to self-developed models. Learn where you fit and how to maximize your career potential.
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·2 min
Claude Code Can't Remember Your Progress? Build a Progress Skill to Fix It
Learn how to build a progress Skill for Claude Code using skill.md files to save and restore development progress across sessions, solving the context loss problem.
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