SCALING MAJOR MODELS: INFRASTRUCTURE AND EFFICIENCY

Training and deploying massive language models requires substantial computational resources. Running these models at scale presents significant challenges in terms of infrastructure, efficiency, and cost. To address these problems, researchers and engineers are constantly investigating innovative approaches to improve the scalability and efficiency