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Old Zhang's AI Learning
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Old Zhang's AI Learning

AI practitioner specializing in large-model evaluation and on-premise deployment, agents, AI programming, Vibe Coding, general AI, and broader tech trends, with daily original technical articles.

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Recent Articles

Latest from Old Zhang's AI Learning

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Old Zhang's AI Learning
Old Zhang's AI Learning
Aug 26, 2026 · Artificial Intelligence

OfficeCLI: One Command Lets AI Agents Visually Control Office Documents

OfficeCLI is an open-source CLI tool that gives AI agents full control over Word, Excel, and PowerPoint via a built-in rendering engine, path-based addressing, three-layer architecture, Excel formula evaluation, template merging, and MCP integration, solving the "blind run" problem by letting AI see and correct layout issues.

AI AgentsCLI toolExcel formula evaluation
0 likes · 15 min read
OfficeCLI: One Command Lets AI Agents Visually Control Office Documents
Old Zhang's AI Learning
Old Zhang's AI Learning
Aug 24, 2026 · Artificial Intelligence

What Is a Harness? The Runtime Environment That Lets You Own Your AI Agent

This article explains Harness as a software runtime that gives AI models a workspace — system prompt, tools, an agentic loop for self-directed reasoning, and a translation layer to swap models — using Pi Agent as a concrete example of a thin, user-extensible harness with over 5,000 community extensions.

AI AgentAgentic LoopHarness
0 likes · 8 min read
What Is a Harness? The Runtime Environment That Lets You Own Your AI Agent
Old Zhang's AI Learning
Old Zhang's AI Learning
Aug 23, 2026 · Artificial Intelligence

Qwen3.8-27B Quantization Selection Guide: Match Your Hardware to the Right GGUF Version

This guide analyzes Unsloth's Dynamic v3.0 quantizations of Qwen3.8-27B, showing Mean KLD divergence across versions, recommending UD-Q4_K_XL for 24GB GPUs, detailing hardware requirements, sampling parameters for thinking modes, and explaining why 4-bit is the baseline for tool use while 8-bit offers diminishing returns.

Dynamic v3.0GGUFMean KLD
0 likes · 10 min read
Qwen3.8-27B Quantization Selection Guide: Match Your Hardware to the Right GGUF Version
Old Zhang's AI Learning
Old Zhang's AI Learning
Aug 19, 2026 · Artificial Intelligence

Building an Open‑Source AI Bookkeeping Skill for Codex/WorkBuddy and Feishu CLI

The author created a set of four AI‑driven bookkeeping Skills that let users record, query, and generate monthly HTML reports with a single natural‑language command in WeChat, Codex, WorkBuddy or TraeWork, storing data locally in SQLite and in Feishu multidimensional tables, and released the whole solution as open source.

AIAutomationCodex
0 likes · 7 min read
Building an Open‑Source AI Bookkeeping Skill for Codex/WorkBuddy and Feishu CLI
Old Zhang's AI Learning
Old Zhang's AI Learning
Aug 17, 2026 · Artificial Intelligence

How Many GPUs Does Kimi K3 Need? Self‑Hosting vs API Cost Comparison

The article breaks down Kimi K3’s 2.8‑trillion‑parameter architecture, explains its 4‑bit MXFP4 quantization, calculates the ~1.4 TB memory requirement, shows that 8‑GPU clusters (e.g., NVIDIA B300 or AMD MI350X) are needed for self‑hosting, and compares these costs with the per‑token API pricing, highlighting when each option is economical.

API costDigitalOceanGPU requirements
0 likes · 14 min read
How Many GPUs Does Kimi K3 Need? Self‑Hosting vs API Cost Comparison
Old Zhang's AI Learning
Old Zhang's AI Learning
Aug 14, 2026 · Artificial Intelligence

Why Qwen3.8-27B Is the World’s New Favorite Open‑Source LLM and How to Deploy It Locally

The article introduces Qwen3.8-27B, a dense multimodal LLM with up to 256K tokens (extendable to 1M), highlights its benchmark gains over previous Qwen models, discusses model size, quantization options, and provides step‑by‑step instructions for local deployment using vLLM, Docker, and LMStudio.

Large Language ModelQwen3.8-27Bbenchmark
0 likes · 8 min read
Why Qwen3.8-27B Is the World’s New Favorite Open‑Source LLM and How to Deploy It Locally
Old Zhang's AI Learning
Old Zhang's AI Learning
Aug 4, 2026 · Artificial Intelligence

The “Best” Qwen3.6-27B Variant: A God‑Level Model for Local Deployment

The community‑fine‑tuned Qwen3.6-27B‑Fable‑Fusion‑711 model combines multi‑stage fine‑tuning, model fusion and uncensored processing, delivers a 0.711 ARC‑C score that surpasses the original on six of seven benchmarks, and offers a rich set of GGUF quantizations with detailed performance guidance for local deployment.

AIGGUFQwen3.6-27B
0 likes · 10 min read
The “Best” Qwen3.6-27B Variant: A God‑Level Model for Local Deployment
Old Zhang's AI Learning
Old Zhang's AI Learning
Aug 4, 2026 · Frontend Development

Recreating Wang Hong’s Hand‑Written PPT Style with AI: Prompts and Open‑Source Skills

The article details how the author reproduced Wang Hong’s hand‑written PPT from ICM 2026 using AI‑generated images and a pure HTML/CSS approach with the neat‑annotations library, providing prompt examples, design guidelines, a 19‑page slide deck, and a ready‑to‑install Skill package.

AI Image GenerationHTML CSSNotability
0 likes · 13 min read
Recreating Wang Hong’s Hand‑Written PPT Style with AI: Prompts and Open‑Source Skills