SCALING MAJOR MODELS: INFRASTRUCTURE AND EFFICIENCY

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