#RLHF
99 related articles
·2 min
AI Aggregator Platforms Tested: A Complete Guide to Using GPT 5.5 and Other Top Models for Free
A hands-on guide to using GPT 5.5, Gemini 3.1 Pro, and Grok 4.2 for free via AI aggregator platforms, covering cross-model context memory, account pool mechanisms, and key security risks.
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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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·3 min
Claude Code + Codex Cross-Validation: Dramatically Reducing AI Coding Bug Rates
Learn how to combine Claude Code and Codex in a cross-validation workflow — a develop-review-fix loop that dramatically reduces AI coding bug rates.
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·3 min
Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering
A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.
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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
Core Methodology of Prompt Engineering: A Systematic Deep Dive from Principles to Practice
A deep dive into prompt engineering principles and core methodology. Master three keys to high-quality prompts: specific, rich, and unambiguous. Learn tuning techniques and advanced programming integration.
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Pi Coding Agent Deep Configuration Gui…
·4 min
Pi Coding Agent Deep Configuration Guide: A Complete Breakdown of Custom Tools, Sub-Agents, and the Skill System
A complete Pi Coding Agent configuration guide refined over two months, covering custom tools, sub-agents, persistent memory, security, and skill systems.
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The Five-Layer Evolution of Scaling La…
·2 min
The Five-Layer Evolution of Scaling Law: How Physical AI Opens the Next Growth Curve
Deep analysis of Scaling Law's five-layer evolution from Pre-Training to Multi-Agent, exploring Physical AI's World Models, edge inference, and emotional interaction.
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The Five-Tier Pyramid of IT Careers in…
·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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Connecting Claude Code to DeepSeek: A …
·2 min
Connecting Claude Code to DeepSeek: A Guide to Setting Up an AI-Driven Testing Environment
Learn how to connect Claude Code to DeepSeek LLM for AI-driven testing. Covers Terminal vs Device Agents, Node.js setup, Claude Code installation, and DeepSeek integration.
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Can AI Agents Replace Security Enginee…
·3 min
Can AI Agents Replace Security Engineers? Insights from Coding Agents Reveal the Industry Truth
In-depth analysis of AI agents' real impact on cybersecurity. From chat tools to coding agents like Crawfish and Hermes, learn how AI is reshaping security engineering and how professionals should adapt.
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OpenCode Open-Source AI Coding Assista…
·2 min
OpenCode Open-Source AI Coding Assistant Review: Can It Replace Claude Code?
In-depth review of OpenCode, a free open-source AI coding assistant. Covers installation, features, and cost comparison with Claude Code to help developers decide if this zero-config alternative is worth switching to.
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Connecting Claude Code to Chinese LLMs…
·3 min
Connecting Claude Code to Chinese LLMs: A Practical Guide to CC Switch Configuration and Model Switching
Learn how to use CC Switch to connect Claude Code with Chinese LLMs like DeepSeek, Xiaomi Mimo, and MiniMax. Covers API Key setup, Base URL config, model mapping, and error troubleshooting.
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Codex and Claude Code Multi-Agent Coll…
·2 min
Codex and Claude Code Multi-Agent Collaboration: A Practical Guide to Team-Based Workflows
Learn how to make Codex and Claude Code collaborate like a team. Use a cloud Agent orchestrator, shared project spaces, and clear task division to build a multi-AI Agent team workflow.
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Why Is AI Progressing Fastest in Codin…
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Why Is AI Progressing Fastest in Coding? A Deep Dive into Four Structural Advantages
AI coding advances faster than writing or image generation due to four structural advantages: instant feedback, GitHub's natural high-quality data, unified quantifiable standards, and perfect fit for reinforcement learning.
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From Claude Oceanus to GPT-5.6: A Comp…
·3 min
From Claude Oceanus to GPT-5.6: A Complete Breakdown of This Week's Major AI Model Updates
Deep analysis of this week's major AI model updates: Anthropic Oceanus red team leak, OpenAI GPT-5.6 Dual Alpha exposed, NVIDIA Nemotron Ultra 550B release, and AI recursive self-improvement research breakthrough.
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Claude Opus 4.8 Identifies Itself as D…
·3 min
Claude Opus 4.8 Identifies Itself as DeepSeek: Data Contamination or Distillation? A Technical Analysis
Anthropic's Claude Opus 4.8 failed within 2 hours of launch, identifying itself as DeepSeek and Tongyi Qianwen in Chinese. Deep analysis of data contamination vs distillation hypotheses and multilingual alignment gaps.
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Cursor Design Mode Launch and OpenAI C…
·3 min
Cursor Design Mode Launch and OpenAI Codex Updates: Latest Developments in AI Programming Tools
Cursor launches Design Mode for visual development, OpenAI Codex updates and Safety Lock Mode released, Anthropic doubles limits, AI agent leaderboards debut, Google DeepMind model compression breakthrough.
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·2 min
LlamaFactory: A Comprehensive Guide to the Open-Source Framework for Unified Fine-Tuning of 100+ LLMs
Deep dive into LlamaFactory, an open-source unified fine-tuning framework supporting 100+ LLMs and VLMs with LoRA, QLoRA, RLHF methods, Web UI, 71K+ GitHub Stars, accepted at ACL 2024.
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·2 min
Why Has Japan's Software Industry Fallen Behind? Structural Challenges and Paths Forward in the AI Era
Deep analysis of structural reasons behind Japan's software industry lag, examining how lifetime employment, multi-layer outsourcing amplify disadvantages in the AI era, and paths forward.
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