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Fun with Large Models

Master's graduate from Beijing Institute of Technology, published four top‑journal papers, previously worked as a developer at ByteDance and Alibaba. Currently researching large models at a major state‑owned enterprise. Committed to sharing concise, practical AI large‑model development experience, believing that AI large models will become as essential as PCs in the future. Let's start experimenting now!

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Latest from Fun with Large Models

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Fun with Large Models

Sep 23, 2026 · Artificial Intelligence

Building LLM Pre-training Data: Markdown Structured Chunking & Rule+LLM Quality Filtering

This guide details a complete pipeline for constructing LLM pre-training datasets: splitting Markdown documents into semantic chunks (1500 chars, no overlap) via heading-aware parsing, greedy packing, and oversized-unit handling, then filtering noise through rule-based checks (length, citations, symbols) and LLM-based quality judgment (completeness, relevance, cleanliness) to produce LLamaFactory-ready JSONL corpora.

LLM pre-trainingLLM-as-JudgeLLamaFactory

0 likes · 22 min read

Building LLM Pre-training Data: Markdown Structured Chunking & Rule+LLM Quality Filtering

Fun with Large Models

Sep 17, 2026 · Artificial Intelligence

Zero-Bug Learning System in 3 AI Dialogues: Seed-2.1-Pro's Multimodal Coding Demo

The author built an open-source knowledge learning system called Knowledge Dance using doubao-seed-2.1-pro-0915 via Trae IDE in three dialogue iterations over three hours, featuring automated research, PPT generation, quiz games, review reports, and knowledge base integration, showcasing the model's multimodal coding and self-debugging via screenshot analysis.

AI-assisted developmentFastAPILLM evaluation

0 likes · 15 min read

Zero-Bug Learning System in 3 AI Dialogues: Seed-2.1-Pro's Multimodal Coding Demo

Fun with Large Models

Sep 14, 2026 · Artificial Intelligence

DeepSeek Harness Plugin Guide: Install Community Plugins & Build Custom Ones

This tutorial explains DeepSeek Harness's Cordis plugin architecture, shows how to discover and install community plugins via GitHub and Awesome DSH Plugin, recommends three essential plugins (dsh-web-ui, dsh-agent-teams, dsh-market), and demonstrates creating persistent custom plugins using natural language in creation mode.

AI AgentsCordisDeepSeek Harness

0 likes · 13 min read

DeepSeek Harness Plugin Guide: Install Community Plugins & Build Custom Ones

Fun with Large Models

Sep 4, 2026 · Artificial Intelligence

DeepSeek Harness Settings & Agent Presets: Which Mode Fits Your Task?

This article details DeepSeek Harness's general settings including permission policies, model adapters, and plugin architecture, then compares four agent presets—Standard, Minimal, PTC, and Creative—showing their token usage, toolsets, and ideal use cases with a 3D game benchmark.

AI agent configurationCreative modeDeepSeek Harness

0 likes · 18 min read

DeepSeek Harness Settings & Agent Presets: Which Mode Fits Your Task?

Fun with Large Models

Sep 2, 2026 · Artificial Intelligence

DeepSeek Harness Tutorial: Install, Architecture & 3D Game Demo

This tutorial introduces DeepSeek Harness, a plugin-based AI agent framework, covering its design philosophy, quick and source-code installation methods using Node.js and pnpm, and demonstrates building a 3D racing game in one shot compared to multi-iteration alternatives.

3D game developmentAI AgentsDeepSeek Harness

0 likes · 13 min read

DeepSeek Harness Tutorial: Install, Architecture & 3D Game Demo

Fun with Large Models

Aug 28, 2026 · Artificial Intelligence

Cybersecurity LLM Data Acquisition: 7 Sources with Reproducible Code

This practical guide details seven core data sources for training a cybersecurity LLM—including academic papers, standards like MITRE ATT&CK, CVE/CWE databases, textbooks, community blogs, open datasets, and model distillation via EasyDataset—providing specific acquisition channels and reproducible Python code for each.

CVEEasyDatasetLLM training

0 likes · 28 min read

Cybersecurity LLM Data Acquisition: 7 Sources with Reproducible Code

Fun with Large Models

Aug 9, 2026 · Game Development

Recreating Childhood: Building a 4399‑Style Game Suite in One Hour with Doubao‑Seed‑Evolving

The author demonstrates how, within an hour, the Doubao‑Seed‑Evolving large model can generate a playable Flappy Bird with two‑player mode, a 3D city‑racing game, and a 4399‑style game portal, detailing environment setup, prompt engineering, debugging steps, and insights into the model’s strengths and current limitations.

AI code generationDoubao-Seed-EvolvingFlappy Bird

0 likes · 13 min read

Recreating Childhood: Building a 4399‑Style Game Suite in One Hour with Doubao‑Seed‑Evolving

Fun with Large Models

Aug 4, 2026 · Artificial Intelligence

DeepAgents Code Command System – Full Guide to Production‑Ready Agent Commands

This article dissects DeepAgents Code’s command architecture, explaining the five‑layer framework, slash‑command registration, priority handling via BypassTier, skill and startup commands, and the engineering safeguards that balance interaction efficiency with system safety in production‑grade AI agents.

AI AgentsDeepAgentsLangChain

0 likes · 24 min read

DeepAgents Code Command System – Full Guide to Production‑Ready Agent Commands

Fun with Large Models

Jul 2, 2026 · Artificial Intelligence

DeepAgents Code Agent Server: Production Design, Dynamic Model Switching & Middleware

This article dissects the DeepAgents Code Agent Server, detailing how it solves four production‑grade challenges—model switching, tool registration, session memory, and sub‑agent orchestration—through runtime context, configurable middleware, a unified tool registry, sub‑agent delegation, and extensible middleware such as LocalContext, ResumeState, Memory, Skills, and backend priority mechanisms.

AI AgentsDeepAgentsLangChain

0 likes · 19 min read

DeepAgents Code Agent Server: Production Design, Dynamic Model Switching & Middleware

Fun with Large Models

Jun 27, 2026 · Artificial Intelligence

Quick Guide to LangChain DeepAgents: Exploring the Production‑Grade DeepAgents Code Framework

This article provides a comprehensive walkthrough of the DeepAgents Code repository, explaining its client‑server architecture, module organization, technology stack—including DeepAgents SDK, Textual UI, SQLite persistence, and streaming protocol—and the design rationale behind building a production‑ready AI agent framework.

AI AgentsDeepAgentsLangChain

0 likes · 14 min read

Quick Guide to LangChain DeepAgents: Exploring the Production‑Grade DeepAgents Code Framework