What is AI? An application, or a technology? Today, as AI becomes more prevalent, it resembles a capability, a capability that permeates various industries and scenarios, enabling intelligent applications. As AI enters the “capability era”, its “three essentials” (data, algorithms, computing power) indicate that algorithms are becoming increasingly important, as they are the core element … Read more
Written by:Kang Xiang Editor: Ayou Design: Zicai It is no exaggeration to say that among the many cloud services released by AWS, Amazon SageMaker absolutely belongs to the level of Star of the Stars. As a fully managed service, SageMaker helps developers and data scientists quickly build, train, and deploy machine learning (ML) models. How … Read more
Today, we explore a powerful combination, namely Amazon SageMaker and Amazon CodeWhisperer, that can “unlock” data in the world of data science and machine learning, allowing you to achieve more with less effort. How to integrate the tools from Amazon Web Services (AWS) into your machine learning and data processing workflows, and how to leverage … Read more
Machine learning is inherently a highly collaborative process, where the combination of domain expertise and technical skills is the cornerstone of success, often requiring multiple iterations and experiments. Compared to research projects or prototype validations, a machine learning project that can be truly applied in a production environment needs to comprehensively consider all aspects of … Read more
The development of generative AI is still in its early stages, and the technical routes have not yet converged. A significant divergence currently exists: should large models be ecologically open or vertically integrated? By Wu Junyu Edited by Xie Lirong Generative AI has been racing for a year now, and the core participants in this … Read more