# Lordog/dive-into-llms

Source: [GitHub](https://github.com/Lordog/dive-into-llms)  
Feed7 permalink: https://feed7.dev/p/dive-into-llms-0in62v5  
Published: Unknown  
Trust: Needs Review (needs_review)

## Why Included

A free, code-oriented Chinese curriculum spans model tuning, deployment, agents, alignment, security, and multimodal systems. It is useful as a broad learning map, but remains a work in progress.

## Source Summary

Dive into LLMs expands university course material into a free programming curriculum covering fine-tuning, deployment, model editing, watermarking, jailbreaks, RLHF, multimodal models, and agents. A **June 6, 2025** update added math reasoning, GUI agents, alignment, and steganography.

## Practical Implication

Use it as a structured map for learning the model and safety concepts behind agent systems, especially if Chinese-language slides, lab manuals, videos, and hands-on exercises fit your workflow. The newer development track is split into **beginner, intermediate, and advanced** levels.

## Agent-Ready Context

Dive into LLMs expands university course material into a free programming curriculum covering fine-tuning, deployment, model editing, watermarking, jailbreaks, RLHF, multimodal models, and agents. A **June 6, 2025** update added math reasoning, GUI agents, alignment, and steganography.

Use it as a structured map for learning the model and safety concepts behind agent systems, especially if Chinese-language slides, lab manuals, videos, and hands-on exercises fit your workflow. The newer development track is split into **beginner, intermediate, and advanced** levels.

The maintainers describe the repository as an **ongoing project** based partly on contributor experience and internet material. They explicitly do not guarantee every technique is correct, so verify important claims independently.

## Context Map

- Layer: model
- Domains: coding, security
- Topics: reasoning, computer-use, open-models

## Uncertainty

- The maintainers describe the repository as an **ongoing project** based partly on contributor experience and internet material. They explicitly do not guarantee every technique is correct, so verify important claims independently.

## Agent Instruction

Use this item as source-backed context. Do not invent claims beyond the linked source. If this item conflicts with another source, call out the conflict.