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  1. Systems and methods for hierarchical text-conditional image generation. A Ramesh, P Dhariwal, A Nichol, C Chu, M Chen. US Patent 11,922,550. , 2024. 2024. Systems and methods for generating code using language models trained on computer code. M Chen, J Tworek, I Sutskever, W Zaremba, JUN Heewoo, HPDEO PINTO.

  2. Mark Chen is a research scientist at OpenAI, where he works on projects such as DALL·E, CLIP, and embeddings. He graduated from MIT in 2012 and has over 500 connections on LinkedIn.

    • 500+
    • Openai
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  3. May 21, 2024 · Among the presenters was Mark Chen, a Taiwanese-born research scientist who played a pivotal role in demonstrating the capabilities of GPT-4o (Omni). On May 14, 2024, OpenAI held a highly ...

  4. Jul 21, 2022 · Episode notes: https://thedataexchange.media/how-dal... Mark Chen is a Research Scientist at OpenAI and part of the team behind DALL·E 2, a new AI system that can create realistic images...

    • 41 min
    • 4.4K
    • Gradient Flow
  5. www.oecd-events.org › ai-wips-2023 › speakerMark Chen - OECD Events

    Mar 27, 2023 · Mark Chen is the Head of Multimodal and Frontiers Research at OpenAI. He led the teams that produced DALL-E 2 and introduced vision to GPT-4. As a research scientist at OpenAI, Mark also led the development of Codex (the AI system that powers Github Copilot), contributed to the development of GPT-3, and created Image GPT.

  6. Jul 7, 2021 · Mark Chen is one of the authors of a paper that introduces Codex, a GPT language model fine-tuned on code from GitHub. The paper evaluates Codex's Python code-writing capabilities and discusses its limitations and impacts.

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  8. Mark Chen '12 is the Head of Frontiers Research at OpenAI, where he focuses on multimodal modeling and reasoning research. He led the team that created DALL·E and the team that...