you want to build a practical, efficient LLM in 2025 – the field has evolved too much.
Introduction In 2021, the field of Large Language Models (LLMs) was rapidly evolving. Models like GPT-3 (2020) had just demonstrated unprecedented zero-shot and few-shot learning capabilities. However, the idea of building an LLM from scratch—pretraining a transformer on hundreds of billions of tokens—was still largely confined to well-funded research labs and big tech companies due to computational and data requirements.
you want to build a practical, efficient LLM in 2025 – the field has evolved too much.
Introduction In 2021, the field of Large Language Models (LLMs) was rapidly evolving. Models like GPT-3 (2020) had just demonstrated unprecedented zero-shot and few-shot learning capabilities. However, the idea of building an LLM from scratch—pretraining a transformer on hundreds of billions of tokens—was still largely confined to well-funded research labs and big tech companies due to computational and data requirements.
