Emergent Behavior in LLMs: How Scaling Laws for Neural Language Models Explain AI’s Surprising Skills
Article Podcast Summary Scaling Laws for Neural Language Models: A Guide to Emergent AI Behavior Scaling laws for neural language models have become the compass guiding the evolution of large language models (LLMs)—charting how model performance scales with compute, data, and parameters. Initially defined by the Kaplan scaling laws, and later refined by Chinchilla scaling … Read more