Hub How-Tos

Should you use ChatGPT to debug errors, or let an AI agent write your code from scratch? Join the DARC team to navigate the evolving landscape of AI coding tools, discover Stanford’s best practices, and learn how to keep your licensed data secure. Register to attend.

This presentation compares and contrasts three datasets that allow for historical research into public and private firms both in the U.S. and around the world, including at the establishment level. Stanford researchers have access to Orbis Historical, D&B U.S. and International Historical, and Data Axle’s Reference Solutions Historical Business datasets, which provide annual records of companies over decades. Watch recording.

Enhance your Qualtrics surveys with an embedded AI chat window that participants can use directly within your survey. Learn about the secure, easy-to-implement tool developed by the Behavioral Lab and DARC teams. Watch recording.

Topics include: AI integration in Qualtrics, comparisons of historical private company and establishment-level datasets, AI code development, and newly added Verisk/Infutor data spanning five additional years. Register to attend.

A step-by-step guide to fine-tuning an open source model in the cloud and running inference on Stanford’s on-prem research computing platforms. Watch recording.

CloudResearch’s new tool streamlines running longitudinal studies on their platform. Learn how to set it up and see it in action. Watch recording.

Learn about how Stanford’s flagship clusters, Sherlock and Marlowe, can help meet your GPU-resource needs. Watch recording.

Dewey Data Founder & CEO, Evan Barry, introduces the platform and highlights datasets, such as LinkedIn and other workforce analytics; consumer data; and more. Watch recording.

Topics include: Dewey Data, GPU resources across Stanford, longitudinal surveys with CloudResearch, and fine-tuning LLMs. Watch recordings.

Stanford faculty have the opportunity to use their research funds for the Equifax Ignite Platform to gain access to individual-level consumer financial behaviors. Watch recording.

Explore common patterns in network activity and develop a clearer understanding of the potential and limitations of using present and historical web usage data. Watch recording.

Learn how to deploy LLMs on Stanford’s computing platforms. We also share practical tips for efficient inference on Ollama. Watch recording.

Stanford now has access to MSCI Climate data. Learn about this new dataset and how to work with it on the Redivis platform with example queries and workflows. Watch recording.

Topics include: MSCI Climate data, large language models on-prem, understanding network traffic data, and the Equifax Ignite platform. Watch recordings.