engblogs

AI enables faster patient classification and recruitment in clinical trials by automating data labeling.

This blogpost explores the distilling step-by-step method, which allows for training smaller task-specific models with less training data compared to standard fine-tuning, and achieves better performance.

A blogpost showcasing the summer projects undertaken by Algo Developer interns at HRT AI Labs during the HRT 2023 Algo Summer Internship program.

This blogpost explores how Airbnb adopted SwiftUI in their iOS app, detailing the reasons behind the decision, the integration of SwiftUI into their design system, and the challenges encountered during the adoption process.

AI accelerates patient classification and recruitment in clinical trials by automating the labeling process with medical industry data.

Recommendations for optimizing generative AI workloads for environmental sustainability on AWS, including training models from scratch, fine-tuning with additional data, Retrieval Augmented Generation (RAG), and prompt engineering.

Building a cost-efficient Optical Character Recognition active learning pipeline for automating the processing of passenger documents at United Airlines with the help of Amazon Machine Learning Solutions Lab

Exploring advanced SQL functions in Apache Spark that use the HyperLogLog algorithm for approximate distinct counting

The blogpost explores the use of large language models (LLMs) in the manufacturing industry.

Deciphering the effectiveness of retrieval augmentation (RAG) vs fine-tuning in generative AI, and why using both approaches together yields optimal results.

A visionary entrepreneur and innovator, Songyee Yoon PhD '00 will focus on entrepreneurship, supporting female engineers, and fostering inclusive innovation as the visiting innovation scholar at the School of Engineering.

Orchestrating Data Analytics with Databricks Workflows - Leveraging data analysts to extract insights and present data in a meaningful way for data-driven enterprises.