Navigate the AI tooling landscape
In-depth, practical tutorials and comparisons for AI engineers — RAG, agents, model selection, deployment and more. Curated and written for developers.
Latest tutorials
A/B Testing ML Models
A/B Testing ML Models Overview Statistical A/B testing framework for model evaluation. This guide covers practical implementation for production ML systems. Why This Matters in MLOps Modern ML systems require rigorous operations practices: - **Re
Adapters vs LoRA Comparison: Hands-On Tutorial
Adapters vs LoRA Comparison Overview Comparing adapter-based methods for LLM customization. This tutorial provides a complete, runnable implementation. Prerequisites ```bash Install required packages pip install transformers datasets peft trl acc
Adaptive RAG: Advanced RAG Tutorial
Adaptive RAG 进阶教程（2026）：按查询难度路由——无需检索直接答/单次检索/多跳迭代检索。降成本提准确、CRAG 自纠错变体，天然是 LangGraph 状态图，建在语义搜索+重排之上。
Adobe Firefly Generative Fill Mastery: Advanced Photoshop AI Techniques
Advanced guide to Adobe Firefly Generative Fill and Generative Expand in Photoshop covering object removal, background extension, clothing visualization, and maintaining photorealistic results.
Advanced Prompt Engineering: Techniques That Actually Work
Beyond basic prompting: master chain-of-thought, self-consistency sampling, tree-of-thoughts, constitutional AI prompting, and systematic evaluation techniques that reliably improve LLM performance.
Advanced RAG: Complete Guide 2026 – Beyond Basic Retrieval to Build Production-Grade Knowledge Bases
Basic RAG systems are easy to set up, but making them stable and effective in production is hard. This article dives deep into advanced RAG techniques: hybrid retrieval, reranking, multi-query decomposition, query routing, and systematic evaluation to improve RAG performance.
Adversarial Prompting: Complete Guide and Examples
Adversarial Prompting: Complete Guide What is Adversarial Prompting? Adversarial Prompting is a prompting technique that involves testing robustness against manipulation. It is particularly effective for security testing. When to Use Adversarial P
From Demo to Production: A Practical Guide to Agent Harness Engineering
Agent Harness is the engineering infrastructure wrapped around the model, determining the success or failure of AI moving from demo to production. This article systematically covers the core concepts of Harness, the ETCLOVG seven-layer architecture, the five-tier memory system, dynamic workflows, and other key designs. Combined with practical cases like Claude Code, it provides a complete methodology covering context management, tool orchestration, and security governance. Suitable for developers and technical leaders who are bringing AI into real engineering.
Agent Reasoning Mode Comparison: Extended Thinking vs Streaming Output, How to Choose?
The biggest AI trend in 2024 is the divergence of 'reasoning modes'. Claude's Extended Thinking and OpenAI's o1 adopt a 'long-chain reasoning' strategy, achieving 92%+ accuracy on math, programming, and research tasks, but costing 5-10 times more than standard models. GPT-4o's streaming output is fast and cheap, but prone to errors on tasks requiring multi-step verification. This article helps you build a 'selection matrix' to choose the right reasoning mode based on task type, latency requirements, and cost budget.
Agent Security: From Prompt Injection to Cache Attacks — Comprehensive Defense
As AI agents are widely adopted in finance, healthcare, and scientific research, security concerns are growing. This article systematically covers major threats including prompt injection, semantic cache key collision attacks, and internal safety collapse, with an in-depth analysis of the Anthropic Fable 5 security breach. It introduces cutting-edge research such as the TVD attack framework and CacheAttack framework, and provides a complete defense strategy covering input filtering, cache hardening, runtime monitoring, and permission control. Finally, an FAQ addresses common security practice questions to help developers build safer agent systems.
Complete Guide to AI 3D Modeling 2026: Blender + AI Tools Boost Efficiency by 5x
In 2026, AI 3D tools are exploding: Meshy AI for text-to-3D, Luma AI NeRF for photo-to-3D, CSM (Common Sense Machines) for multi-view generation, and built-in AI plugins for Blender. This article provides a complete workflow for 3D designers and enthusiasts—from concept generation to Blender refinement to final render output.
AI and 3D Printing: Generative Design for Personal Manufacturing
Explore how AI generative design, topology optimization, and AI slicing tools are transforming 3D printing—from optimized functional parts to personalized consumer products.