1. The Emergence of the LLM Tech Stack
2. State of LLaMA 2023/Q1
source: https://medium.com/better-programming/state-of-llama-2023-q1-663905c37a5e
3. Inside Generative Agents: Google and Stanford University’s Generative AI Method that Created Agents that Simulated Human Behavior
source: https://medium.com/p/99155107996b
4. The Infinite Babel Library of LLMs
source : https://towardsdatascience.com/the-infinite-babel-library-of-llms-90e203b2f6b0
5. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
source: https://arxiv.org/pdf/2304.13712.pdf
6. Open LLMs
source: https://github.com/eugeneyan/open-llms?
7. A Gentle Introduction to 8-bit Matrix Multiplication for transformers at scale using Hugging Face Transformers, Accelerate and bitsandbytes
source: https://huggingface.co/blog/hf-bitsandbytes-integration
8. Cookbook for solving common problems in building GPT/LLM apps
9. HyperCLOVA – Korean GPT3
10. 한국어 초거대AI가 필요한 이유 - 토크나이저와 한국어 콘텐츠
source: http://aidev.co.kr/chatbotdeeplearning/12637
11. Generative AI: A Game Changer
source: https://pub.towardsai.net/generative-ai-a-game-changer-13691b6549f6
12. Understanding LLMOps: Large Language Model Operations
source: https://medium.com/@iamleonie/understanding-llmops-large-language-model-operations-4253820922
13. The Art of Prompt Design: Prompt Boundaries and Token Healing
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