Lessons Learned from Large-Scale LLM

Scaling Large Language Models (LLMs) goes beyond just increasing parameter counts. It involves managing massive datasets, optimizing distributed training across thousands of GPUs, and ensuring that the final model remains steerable and safe for public deployment.