#skill distillation
86 related articles
·4 min
Adding a 'Repair Layer' to Open-Source Models: How DeepSeek Can Outperform Claude Opus
Independent developer Ahmad Awais found that open-source LLM failures stem from Tool Calling bugs, not model capability. A deterministic repair layer + repair hints can make DeepSeek outperform Claude Opus.
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·3 min
Hermes Agent Complete Guide: Windows WSL Deployment + WeChat Integration
Step-by-step guide to deploying Hermes Agent on Windows via WSL: covers Ubuntu setup, MiniMax model config, web UI, WeChat integration, and key pitfalls to avoid.
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·4 min
Tencent Marvis Hands-On: How Multi-Agent AI Takes Over Your Computer
Deep dive into Tencent's Marvis AI agent: multi-agent architecture, intelligent file organization, document analysis, cross-device sync, and local privacy mode explained.
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·3 min
Hermes Agent Deep Dive: Anatomy of a Self-Evolving AI Agent Architecture
Deep dive into Hermes Agent's core architecture including the Skills system, GPA governance mechanism, and 47 built-in tools. Learn how Hermes self-evolves to get smarter with use.
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·4 min
Harness Engineering in Practice: Mastering the Four Core Principles and Implementation Methods
Deep dive into Harness Engineering's four core principles: Documentation as Source of Truth, Mechanized Constraints, Feedback Loops, and Entropy Management, with practical AI Agent cases.
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·3 min
748-Episode AI Large Language Model Development Tutorial: Seven Core Modules from Zero to Project Deployment
Analysis of a 748-episode, 198-hour AI LLM development tutorial covering API integration, prompt engineering, RAG, AI Agents, fine-tuning, multimodal development, and deployment.
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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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·3 min
Gemini 5.2 in Claude Code: Real-World Testing — Does It Crush Opus on Cost-Effectiveness?
Real-world testing of Gemini 5.2 in Claude Code vs Opus across web design, coding, creative tasks, and Storm research — analyzing the open-source model's cost advantage and ideal use cases.
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·4 min
Loop Engineering from Beginner to Expert: A Complete Guide to Agent Loop Development
A deep dive into Loop Engineering covering Agent Loop workflows, code implementation (While loops and Graph patterns), and how it differs from Prompt Engineering.
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·2 min
LangChain + MCP Agent Development: A Practical Guide to LLM Selection and Common Pitfalls
A deep dive into LLM selection for LangChain and MCP agent development, comparing DeepSeek V3/R1 vs Qwen3 on Function Calling and MCP support with practical tips.
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·3 min
Microsoft Build 2026: In-Depth Analysis of the In-House Reasoning Model MAI Thinking-E and the Full AI Product Suite
Microsoft Build 2026 unveils MAI Thinking-E, its first in-house reasoning model with 1T MoE architecture, plus 6 vertical AI models. Deep dive into performance, strategy, and industry trends.
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·2 min
AI Alleviating Sierra Leone's Teacher Shortage: Technology Empowering Rather Than Replacing Educators
Sierra Leone faces severe teacher shortages. AI as a teacher partner can provide personalized tutoring, content preparation, and basic Q&A. This article analyzes AI education prospects, infrastructure challenges, and localization strategies in developing countries.
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·2 min
Nex N2 Pro Real-World Testing: Top 5 on Official Benchmarks, Only 12th in Independent Tests
Deep-dive testing of Nex N2 Pro open-source Agent model comparing official benchmarks vs independent results. The 397B parameter model shows decent frontend generation but ranks 12th independently, not top 5 as claimed.
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·3 min
Deep Dive into Claude Opus 4.8: The AI Paradox of Being More Honest Yet Better at Gaming Tests
Anthropic releases Claude Opus 4.8 with major coding gains and zero false reporting. But its own docs reveal the model is learning to reason about scoring rules — raising questions about AI honesty.
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·4 min
AI Engineer Job Search: The Capability Leap from Demo to Production System
AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.
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·3 min
Reading Code Is More Important Than Writing It in the AI Era: 6 Practical Tips to Improve Your Code Reading Skills
In the age of AI-generated code, reading code is a critical skill. Learn 6 practical techniques—from entry point reading to tracing data flows—using a login endpoint example.
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·3 min
Pangu Skill: An Open-Source Project That Distills 18 Business Leaders into Callable AI Protocols
Pangu.skill is an open-source project that distills 18 top business leaders' cognitive patterns into callable AI protocols, enabling 24/7 decision analysis.
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·3 min
Fixing Tool Confusion: A Practical Method to Make DeepSeek v4 Outperform Opus
Deep dive into DeepSeek v4's Tool Confusion problem and its deterministic fix. Repair Logic dramatically improves open-source model tool call accuracy, outperforming Claude Opus 4.7 in practice.
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·3 min
Guo Yu on the AI Agent Era: The End of Software and the Fate of Knowledge Workers
Former ByteDance engineer Guo Yu analyzes the AI Agent revolution: how Claude Code's Skill feature signals the end of traditional software, the SaaS collapse, and the future of knowledge workers.
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·3 min
Codex Beginner's Guide: Lessons Learned from 660 Million Tokens of Real-World Usage
Deep dive into OpenAI Codex Agent's core features, Skill ecosystem, context compression, and project-level Harness management tips from 660M tokens of real-world usage.
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