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Fun with Large Models
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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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Recent Articles

Latest from Fun with Large Models

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Fun with Large Models
Fun with Large Models
Oct 10, 2025 · Artificial Intelligence

Coze Low-Code Agent Platform: In‑Depth Look at Its Six Core Features

This article provides a comprehensive overview of the Coze low‑code AI agent platform, detailing its free, multi‑model capabilities and six core functions—plugins, knowledge base, database, image flow, workflow, and multi‑agent collaboration—while illustrating how each feature lowers development barriers and enables sophisticated agent applications.

Agent PlatformCozeKnowledge Base
0 likes · 13 min read
Coze Low-Code Agent Platform: In‑Depth Look at Its Six Core Features
Fun with Large Models
Fun with Large Models
Oct 9, 2025 · Industry Insights

Low-Code AI Agent Frameworks Compared: Choosing the Right Tool in 2025

This article analyzes four mainstream low-code AI Agent development platforms—Coze, Dify, n8n, and LangFlow—detailing their features, deployment options, commercial models, strengths, and weaknesses, and provides a step‑by‑step learning path to help developers select the most suitable framework for 2025.

CozeDifyLangflow
0 likes · 17 min read
Low-Code AI Agent Frameworks Compared: Choosing the Right Tool in 2025
Fun with Large Models
Fun with Large Models
Oct 4, 2025 · Artificial Intelligence

Which Large‑Model AI Agent Framework Is Best? A Guide to 12 Options

This article categorizes and compares twelve popular large‑model AI Agent development frameworks—low‑code platforms, basic programming paradigms, advanced code libraries, and multi‑agent systems—detailing their core features, typical use cases, and trade‑offs to help developers choose the most suitable solution.

AI agentLangChainLow‑code
0 likes · 12 min read
Which Large‑Model AI Agent Framework Is Best? A Guide to 12 Options
Fun with Large Models
Fun with Large Models
Sep 30, 2025 · Artificial Intelligence

DeepSeek-V3.2 Architecture Breakthrough: A 5‑Minute Guide to Its Core Features

The article introduces DeepSeek-V3.2, highlighting its new DeepSeek Sparse Attention (DSA) that boosts training and inference efficiency by up to 50%, cuts model usage costs dramatically, explains the updated API endpoints, and details the four‑stage post‑training pipeline that underpins the model’s performance improvements.

AI ArchitectureDSADeepSeek-V3.2
0 likes · 8 min read
DeepSeek-V3.2 Architecture Breakthrough: A 5‑Minute Guide to Its Core Features
Fun with Large Models
Fun with Large Models
Sep 24, 2025 · Artificial Intelligence

Interview Guide: Core Differences Between PPO and GRPO Algorithms for Large Model Fine‑Tuning

The article explains the fundamental principles of PPO and GRPO reinforcement‑learning algorithms, compares their architectures and training workflows, highlights why GRPO is gaining traction in large‑model fine‑tuning, discusses associated risks, and offers practical guidance on group size selection for engineers preparing for interviews.

GRPOPPORLHF
0 likes · 9 min read
Interview Guide: Core Differences Between PPO and GRPO Algorithms for Large Model Fine‑Tuning
Fun with Large Models
Fun with Large Models
Sep 22, 2025 · Artificial Intelligence

Building Conditional Branch and Loop Graphs with LangGraph AI Agents

This tutorial demonstrates how to use LangGraph's low‑level API to create stateful conditional‑branch, loop, and combined graphs for AI agents, showing step‑by‑step definitions of Pydantic state models, node logic, edge configuration, compilation, and test execution with concrete code examples.

AI AgentsLangGraphPydantic
0 likes · 12 min read
Building Conditional Branch and Loop Graphs with LangGraph AI Agents