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Scaling Laws for LLMs: The 3+ Key Factors to Optimize Performance
Which factors truly matter when scaling up large language models? This deep dive explores the core components of scaling laws—model size, dataset size, and compute—plus the often-overlooked elements like architecture and data quality that determine real-world success and cost-effectiveness.