#machine learning projects
995 related articles
·3 min
Vibe Coding in Practice: A Complete AI Programming Guide for Non-Developers
A complete guide to Vibe Coding's three stages, Cursor tool selection, and hands-on workflow—helping non-programmers and professionals master AI programming for multiplied productivity.
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·4 min
AI Large Language Model Career Transition Roadmap: A Three-Phase Learning Guide from Zero to Enterprise-Ready
A systematic three-phase AI LLM career transition roadmap: from Transformer fundamentals to RAG, Agent & LangChain development, to LoRA fine-tuning. Build enterprise-ready skills in two months.
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·4 min
Spring AI Alibaba Agent in Practice: Building Enterprise-Grade AI Agents Natively in Java
Deep dive into Spring AI Alibaba Agent framework covering core architecture, tool calling, RAG integration, multi-agent collaboration, and production deployment for Java developers.
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·2 min
Vibe Coding in Practice: Creating Particle Effects and Retro Camera Filters with Zero Code
A hands-on Vibe Coding walkthrough using Qwen 3.7 Max and CoderWork to build gesture-controlled 3D particle systems and retro camera filters with zero code.
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·3 min
AI Agent Learning Path from Zero: A Complete Guide from Principles to Practice
A systematic AI Agent learning path covering core principles, dev environment setup, memory management, multi-agent collaboration, and hands-on projects for beginners.
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·3 min
Vibe Coding Practical Guide: Tool Selection, Development Workflow, and Lessons Learned
In-depth analysis of Vibe Coding methodology covering Claude Code, Cursor, and Codex tool strategies, full development workflow tips, and four key principles for avoiding pitfalls in complex systems.
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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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·3 min
Sakana AI Scientist v2 Deep Dive: Architecture and Practice of an Autonomous AI Research System
Deep dive into Sakana AI's open-source AI Scientist v2: technical architecture, core modules, and upgrade highlights covering the full autonomous research pipeline from idea generation to paper writing.
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·3 min
Google DeepMind Partners with A24 in $75 Million Deal to Bring AI Filmmaking Tools to Hollywood
Google DeepMind partners with indie studio A24 in a $75M deal to develop AI filmmaking tools—reshaping Hollywood production, indie cinema, and the AI entertainment landscape.
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·3 min
Playwright vs Selenium: Why More People Are Switching to Playwright
In-depth comparison of Playwright vs Selenium: DevTools protocol speed advantages, async support, smart locators, and AI/MCP integration to help you choose the right Web automation tool.
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·3 min
Industrial Defect Detection: OpenCV vs. YOLO — A Complete Guide to Scenario-Based Decision Making
Compare OpenCV vs. YOLO for industrial defect detection. Analyze selection criteria across data needs, accuracy, deployment, and get learning roadmap advice.
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·2 min
The Complete Guide to Automated AI Research Resources: Papers, Tools, and Labs
A deep dive into the awesome-auto-ai-research open-source project, covering key papers, tools, labs, and roadmaps in automated AI research to help researchers explore the frontier of autonomous AI-driven science.
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·1 min
Sakana AI Launches RSI Lab: The Path to Recursive Self-Improvement Where AI Builds AI
Sakana AI launches RSI Lab for recursive self-improvement, letting AI autonomously improve its own architecture. Explore their four-stage roadmap and key breakthroughs.
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·3 min
SWE-Smith Expands to JavaScript: 6,099 Synthetic Bugs Powering Multilingual Code Repair
SWE-Smith Multilingual extends synthetic bug generation to JavaScript, validating 6,099 patches across 74 repos. Covers 14 modifiers, high-yield repo traits, and Modal cloud pipeline architecture.
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·3 min
Codex in Action: From a One-Sentence Idea to a Playable 3D City Shooter — The Full Process
A detailed walkthrough of building a first-person 3D shooter from scratch with OpenAI Codex, covering project scoping, prototyping, modular city design, enemy AI, and iterative refinement.
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·2 min
Claude Code + DeepSeek in Practice: Instantly Transform Natural Language into Analysis Plans and Code Frameworks
Learn how Claude Code combined with DeepSeek transforms natural language research requirements into complete analysis plans and code frameworks, with step-by-step instructions and output examples.
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·4 min
Loop Engineering Explained: Agent Loop Mechanisms and the New Paradigm of AI Agent Development
Deep dive into Loop Engineering: from Agent Loop principles and While loops to Graph structures, covering loop efficiency optimization and termination strategies for AI agent development.
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·2 min
Analyzing Mach's All-In Strategy: Can the Ambition of Doing Everything at Once Succeed?
Deep analysis of Mach founder Ethan Thornton's differentiated strategy. While most AI startups focus on one track, Mach goes all-in on multiple fronts simultaneously.
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·3 min
Codex Hands-On from Scratch: Building a Full-Stack World Cup App Without Writing Code
Learn how to build a full-stack World Cup app with OpenAI Codex without writing code, covering multi-session concurrency, MCP voice synthesis, Skill encapsulation, and scheduled task automation.
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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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