Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications (基於大型語言模型的解決方案：如何以具成本效益的生成式AI應用提供價值)

SHREYAS SUBRAMANIAN, PhD, is a principal data scientist at AWS, one of the largest organizations building and providing large language models for enterprise use. He is currently advising both internal Amazon teams and large enterprise customers on building, tuning, and deploying Generative AI applications at scale. Shreyas runs machine learning-focused cost optimization workshops, helping them reduce the costs of machine learning applications on the cloud. Shreyas also actively participates in cutting-edge research and development of advanced training, tuning and deployment techniques for foundation models.

SHREYAS SUBRAMANIAN, PhD, 是亞馬遜網路服務（AWS）的首席資料科學家之一，該組織是為企業使用而建立和提供大型語言模型的最大組織之一。他目前為亞馬遜內部團隊和大型企業客戶提供建立、調整和部署大規模生成式人工智慧應用的建議。Shreyas主持機器學習成本優化研討會，幫助他們降低雲端上機器學習應用的成本。Shreyas還積極參與先進訓練、調整和部署技術的前沿研究和開發。