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😎 Awesome lists about all kinds of LLM related articles

## LLM (Large Language Model)
- [The Busy Person's Introduction to Large Language Models](https://ppaolo.substack.com/p/introduction-to-large-language-models-llms): This article is a brief introduction to Large Language Models (LLMs).
- [The Illustrated Transformer](https://jalammar.github.io/illustrated-transformer/): This article use illustration to introduction the Transformer.
- [从神经网络到 Hugging Face/Chinese](https://hutusi.com/articles/the-history-of-neural-networks): 全面介绍了神经网络的发展历程，及神经网络(Deep Learning)和大语言模型(Large Language Model)的概念，非常make sense的一篇文章
- [Mixture-of-Experts (MoE): The Birth and Rise of Conditional Computation](https://cameronrwolfe.substack.com/p/conditional-computation-the-birth): This article is a brief introduction to Mixture-of-Experts (MoE), good to understand the concept of MoE.
- [Mixture of Experts Explained](https://huggingface.co/blog/moe): Take a look at the building blocks of MoEs, how they’re trained, and the tradeoffs to consider when serving them for inference.

## Code Assistant
- [Copilot Internals](https://thakkarparth007.github.io/copilot-explorer/posts/copilot-internals): Exploring the internals of GitHub Copilot.
- [Personal Copilot: Train Your Own Coding Assistant](https://huggingface.co/blog/personal-copilot)

## LLM Optimization
- [A possibly new algorithm for LLM Inference](https://kolinko.github.io/effort/)

## Application
- [In-Depth Product Analysis of Devin, the Hottest AI Developer](https://ppaolo.substack.com/p/in-depth-product-analysis-devin-cognition-labs)
