engblogs

A blogpost about the winners of a Summer Hackathon event organized by Databricks after launching Dolly 2.0, an open instruction-tuned Large Language Model.

Illustrating how to perform RLHF on Amazon SageMaker using the Trlx RLHF repo and the Helpfulness and Harmlessness (HH) dataset from Anthropic, with a Jupyter notebook provided for replicating the experiments.

Exploring architecture and its influence on future technology at Two Sigma.

The blogpost highlights the winners of the Summer Hackathon and mentions the launch of Dolly 2.0, a revolutionary Large Language Model (LLM) by Databricks.

4 Latinx Duos discussing their favorite traditional foods from home

Accelerating patient classification and recruitment in clinical trials using AI solutions and LLM customization with Snorkel Flow

A spotlight on Mohammad Aflah Khan, a Computer Science & Engineering undergraduate student, discussing his passion for programming and interest in Deep Learning.

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.