wolfecameron

[LLM Training and Fundamentals]
- GPT and GPT-2: https://cameronrwolfe.substack.com/p/language-models-gpt-and-gpt-2
- GPT-3 and LLM Scaling: https://cameronrwolfe.substack.com/p/language-model-scaling-laws-and-gpt
- Modern LLMs: https://cameronrwolfe.substack.com/p/modern-llms-mt-nlg-chinchilla-gopher
- Specialized LLMs: https://cameronrwolfe.substack.com/p/specialized-llms-chatgpt-lamda-galactica

[Open Source LLMs]
- LLaMA: https://cameronrwolfe.substack.com/p/llama-llms-for-everyone
- Beyond LLaMA (Imitation Models): https://cameronrwolfe.substack.com/p/beyond-llama-the-power-of-open-llms
- False Promise of Imitation: https://cameronrwolfe.substack.com/p/imitation-models-and-the-open-source

rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.