Get top LLM resources for startup founders, backed by 8.6k+ GitHub stars, covering AI models and tools.
8,659 stars921 forksQuality 8/10Updated 7/9/2026100% free · open source
What it does
The awesome-LLM-resources tool provides a curated list of top resources for startup founders to learn about and utilize Large Language Models (LLMs) and related AI technologies.
Install / run
Clone the repository using the command `git clone https://github.com/WangRongsheng/awesome-LLM-resources.git`
When to use it
•When researching AI models and tools for a startup project
•When looking for resources to learn about multimodal generation, agent-based systems, or AI-assisted programming
•When seeking datasets, model training, or model inference resources for LLM development
Quick start
1Explore the `README.md` file for an overview of the resources provided
2Navigate to the `multimodal-generation` section for resources on generating text, images, and other media
3Visit the `agent` section for resources on building AI-powered agents
4Check the `contributing.md` file for guidelines on contributing to the repository
5Browse the `models` section for a list of pre-trained LLMs and their applications
Ready-to-paste prompt
To find resources on AI-assisted programming, search for '辅助编程' in the `README.md` file
Heads up: Be aware that some resources listed may require specific programming languages or frameworks, such as Python or TensorFlow, to fully utilize
Saves to your device
Topics
awesome-list
book
course
large-language-models
llama
llm
mistral
openai
qwen
rag
retrieval-augmented-generation
webui
What's inside — free to inspect
No purchase needed
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
4
top-level files
3
folders
67.1M
repo size
Apache-2.0
license
Key files
_config.yml
README.md
File tree
assets/
books/
docs/
_config.yml
CODE_OF_CONDUCT.md
LICENSE
README.md
Quick Actions
Details
Creator
WangRongsheng
Category
ai-agent
Published
4/19/2024
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