Scaling laws in AI offer a quantitative framework for understanding the relationship between model size, data, and compute resources. Learn about the Chinchilla scaling law, power laws, and the future of large models.

Exploration of AI accelerators and their impact on deploying Large Language Models (LLMs) at scale.

Overview of Large Language Model (LLM) inference, its importance, challenges, and key problem formulations.