How to Build an LLM from Scratch

Data Curation, Transformers, Training at Scale, and Model Evaluation

This is the 6th article in a series on using large language models (LLMs) in practice. Previous articles explored how to leverage pre-trained LLMs via prompt engineering and fine-tuning. While these approaches can handle the overwhelming majority of LLM use cases, it may make sense to build an LLM from scratch in some situations. In this article, we will review key aspects of developing a foundation LLM based on the development of models such as GPT-3, Llama…