Shreya Shankar

Writing in the Age of LLMs

Data Flywheels for LLM Applications

Short Musings on AI Engineering and "Failed AI Projects"

Comparing LLMs on "Real-World" Retrieval

Mid-PhD Research Talk

Study Notes for the Berkeley Databases Prelim Exam

Thoughts on ML Engineering After a Year of my PhD

Notes on ARIES: A Transaction Recovery Method Supporting Fine-Granularity Locking and Partial Rollbacks Using Write-Ahead Logging

The Modern ML Monitoring Mess: Research Challenges (4/4)

The Modern ML Monitoring Mess: Failure Modes in Extending Prometheus (3/4)

The Modern ML Monitoring Mess: Categorizing Post-Deployment Issues (2/4)

The Modern ML Monitoring Mess: Rethinking Streaming Evaluation (1/4)

Introducing mltrace

Predictive Modeling: A Retrospective

Modeling Libraries Don’t Matter

Get Rid of AI Saviorism

Choosing Between a PhD and Industry for New Computer Science Graduates

Reflecting on a Year of Making Machine Learning Actually Useful