#evolutionary algorithms
198 related articles
Tutorials·3 min
Hermes Agent + Playwright: A Practical Guide to AI-Driven Browser Automation
A complete guide to AI-driven browser automation with Hermes Agent and Playwright, covering setup, three AI modes (snapshot decisions, multi-turn dialogue, autonomous exploration), retry mechanisms, and optimization tips.
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Tutorials·3 min
Getting Started with AI Full-Stack Development: A Knowledge Framework from Machine Learning to Large Language Models
A systematic guide to the relationships between AI, machine learning, deep learning, and large language models, helping developers build a clear knowledge framework and find an efficient learning path.
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Tutorials·3 min
RAG Technology Full-Stack Analysis: Core Principles, Enterprise Implementation & Learning Path
Deep analysis of RAG technology's core principles, three key values, enterprise implementation cases, common pitfalls, and a systematic learning roadmap covering vector databases, retrieval optimization, and Knowledge Graph fusion.
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Tech Frontiers
Deep Dive into Six Major Open Source P…
·3 min
Deep Dive into Six Major Open Source Projects: GitHub Native Stacked PRs, Open Source Figma Alternative, and More
Deep dive into six open source projects: GitHub native Stacked PRs, Open Pencil design editor, Happy DOM, Open Agents cloud coding Agent, Bright Beans social media platform, and Fuse.js fuzzy search.
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Tutorials·2 min
Vibe Coding in Practice: Building a Mini-OpenClaw Agent from Scratch Without Writing Code
Learn how to build a Mini-OpenClaw Agent framework using Vibe Coding with zero code, covering OpenClaw's architecture, LangChain integration, and AI-assisted development workflows.
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Tutorials·2 min
Career Prospects for LLM Development Engineers: Job Categories, Education Requirements, and Learning Paths
In-depth analysis of three LLM engineer career paths (Application, R&D, Algorithm), bachelor's degree entry, core algorithms, salary benchmarks, and a three-tier learning roadmap.
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Product Reviews·2 min
Ghostwriter Review: Can AI Ghostwriting with Auto-Publishing to LinkedIn and X Really Work?
In-depth review of Ghostwriter, an AI social media writing tool that auto-generates and publishes LinkedIn and X content. Is it worth paying for?
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Research·2 min
Go 1.26 Type Construction Simplification and Enhanced Recursive Type Cycle Detection Explained
Deep dive into Go 1.26's two key type system improvements: simplified generic type construction and enhanced recursive type cycle detection for safer, more efficient complex type definitions.
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Tech Frontiers·2 min
Gemini Daily Brief Feature Explained: How Google's AI Assistant Proactively Plans Your Daily To-Dos
Google Gemini launches Daily Brief, an AI feature that proactively analyzes schedules and emails to generate daily to-do lists. Learn how it works, use cases, and comparisons with Apple Intelligence and Microsoft Copilot.
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Tech Frontiers·2 min
Google's Major AI Search Upgrade: Search Engines Enter the Era of Intelligent Q&A
Google announces major AI search advances, deeply integrating traditional search with LLMs to shift from keyword matching to intelligent Q&A. Analysis of technical evolution, competition, and SEO impact.
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Industry Insights·1 min
Information Overload in the AI Era: How to Filter Valuable Signals from the Content Flood
AI-generated content is exploding and social media noise is intensifying. This article explores signal-to-noise ratio, the attention economy, and AIGC to help you identify and create truly valuable content in the AI era.
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Tutorials·2 min
Deep Learning Beginner Tutorial: From Neural Network Fundamentals to Image Recognition in Three Days
A systematic review of a three-day deep learning crash course covering neural network math, gradient descent, backpropagation, TensorFlow, CNNs, and transfer learning with practical tips.
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Tech Frontiers·2 min
Cursor Beginner's Guide: 2024 AI Coding Tools Comparison & Selection Guide
Compare Cursor, GitHub Copilot, Windsurf, Trae and other top AI coding tools. Find the best AI programming assistant for your workflow with this 2024 selection guide.
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Tutorials·3 min
OpenClaw Agent Development in Practice: A Complete Guide to the Skill Mechanism and Production-Ready Engineering
Deep dive into OpenClaw's Skill mechanism for AI Agent development, covering Function Calling, RAG, production deployment, and resume-worthy project design.
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Tutorials·1 min
AI Agent Open-Source Course: 36 Chapters from ReAct to Claude Code Full-Stack Practical Guide
Open-source GitHub project agent-study offers 36 chapters covering ReAct loops, Claude Code reverse engineering, MCP protocol, RAG, DSPy, and production observability as runnable Python code.
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Tutorials·3 min
3 Prompting Strategies to Guide AI Toward Original Solutions | With Rocket Thruster Case Study
How to use prompt engineering to make AI break from conventional solutions and create unique paths? This article details three strategies—exclusion, constraint-driven, and multi-round iteration—with a real generative design rocket thruster case.
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Product Reviews·3 min
MiniMax M2.7 Hands-On Review: Coding Ability Rivals Claude Opus at 50x Lower Cost
In-depth hands-on review of MiniMax M2.7 agentic model: coding ability rivals Claude Opus 4.6 at 50x lower input cost. Real-world tests include MacOS system generation, game dev, and dynamic landing pages.
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Deep Dives·3 min
20 Years of Google Translate's Technical Evolution: From Trillion Tokens to TPUs to Gemini
Jeff Dean reflects on Google Translate's 20 years and three tech leaps: 2006's trillion-token language model validating Scaling Law, 2016's Seq2Seq+TPU neural translation, and now Gemini integration.
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Deep Dives·3 min
Reinforcement Learning Drives AI Reasoning Evolution: From Imitator to True Thinker
How RL, Self-Play, and Verifiers work together to evolve LLM reasoning — driving the leap from SFT imitation to true System 2 deep thinking.
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Tutorials·4 min
Complete Guide to Agent Observability: Tracing, Evaluation, and Red Teaming in Practice
Deep dive into Microsoft Foundry's Agent observability solution covering multi-Agent tracing, AI quality evaluation, Red Teaming security testing, and automated prompt optimization to bridge the gap between expected and actual Agent behavior.
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