Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
John Schulman and Barret Zoph | ChatGPT and the Art of Post Training | Stanford HAI
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Your browser does not support the video tag.
eventSeminar

John Schulman and Barret Zoph | ChatGPT and the Art of Post Training

Status
Past
Date
Tuesday, January 28, 2025 12:00 PM - 1:15 PM

HAI Seminar with John Schulman & Barret Zoph

Abstract:

At this seminar, we’ll talk about the history and development process of ChatGPT, tracing its journey from initial prototypes to becoming a large-scale product and research effort. We’ll delve into the technical and operational challenges involved in post-training, including fine-tuning for conversational behavior, addressing alignment issues, and optimizing for large-scale deployment. Additionally, we’ll highlight some of the innovative solutions developed to tackle these challenges. To conclude, we’ll explore a set of open problems in the field, including ethical considerations, maintaining factual accuracy, and advancing the contextual understanding of conversational AI.

Speakers
John Schulman
Researcher at Anthropic, previous, cofounder of OpenAI
Barret Zoph
VP of Research (Post-Training) at OpenAI
Share
Link copied to clipboard!
More from HAI and SDS seminars
  • Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education
    SeminarMar 11, 202612:00 PM - 1:15 PM
    March
    11
    2026

Related Events

Zoë Hitzig | How People Use ChatGPT
Mar 09, 202612:00 PM - 1:00 PM
March
09
2026

Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...

Event

Zoë Hitzig | How People Use ChatGPT

Mar 09, 202612:00 PM - 1:00 PM

Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...

Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education
SeminarMar 11, 202612:00 PM - 1:15 PM
March
11
2026
Seminar

Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education

Mar 11, 202612:00 PM - 1:15 PM
Joel Becker | Reconciling Impressive AI Benchmark Performance with Limited Developer Productivity Impacts
Mar 16, 202612:00 PM - 1:00 PM
March
16
2026

AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...

Event

Joel Becker | Reconciling Impressive AI Benchmark Performance with Limited Developer Productivity Impacts

Mar 16, 202612:00 PM - 1:00 PM

AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...