Scaling social science research
GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale.
Viable uses GPT-4 to analyze qualitative data at a revolutionary scale with unparalleled accuracy.
GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale.
Learn how to analyze data with ChatGPT by exploring datasets, generating insights, creating visualizations, and turning findings into actionable decisions.
Using GPT-3 to deliver fast, nuanced insights from customer feedback.
Lifespan uses GPT-4 to radically improve health literacy and patient outcomes.
Introducing GPT-5. 5, our smartest model yet—faster, more capable, and built for complex tasks like coding, research, and data analysis across tools.
Zelma uses GPT-4 to make education data accessible.
Introducing GPT-4. 1 in the API—a new family of models with across-the-board improvements, including major gains in coding, instruction following, and long-context understanding.
Color Health is working with OpenAI to pioneer a new way of accelerating cancer patients’ access to treatment. Their new Cancer Copilot application uses GPT-4o to identify missing diagnostics and create tailored workup plans, enabling healthcare providers to make evidence-based decisions about cancer screening and treatment.
See how a group of leading developers use GPT-5 for the first time.
Improvements to data analysis in ChatGPT Interact with tables and charts and add files directly from Google Drive and Microsoft OneDrive.
Using new techniques for scaling sparse autoencoders, we automatically identified 16 million patterns in GPT-4's computations.
We use GPT-4 for content policy development and content moderation decisions, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators.