SCALING MAJOR MODELS: INFRASTRUCTURE AND EFFICIENCY

Training and deploying massive language models necessitates substantial computational power. Executing these models at scale presents significant obstacles in terms of infrastructure, optimization, and cost. To address these problems, researchers and engineers are constantly developing innovative techniques to improve the scalability and efficiency