AI Seminar (Virtual): Open-Source AI and Research Infrastructure

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Description:
Join us for a fireside chat with Hailey Schoelkopf, a leading researcher at EleutherAI, where we'll explore the evolving landscape of AI research and the critical role of open-source tools in advancing the field. Hosted by Hugo Bowne-Anderson, this discussion will cover the latest developments and challenges in AI, from the evaluation harness to the impact of research infrastructure.

​Hailey Schoelkopf is deeply involved in research on Large Language Models (LLMs) at EleutherAI, with a focus on critical evaluation, efficient distributed training, and interpreting the inner workings of AI/ML systems. As a key contributor to widely used open-source projects like the LM Evaluation Harness and GPT-NeoX, Hailey plays a significant role in advancing open-source AI. Her work at EleutherAI includes publishing research in top academic venues, contributing to the open-source community, and managing collaborative research projects.

​Key topics of discussion:

• ​EleutherAI’s Journey: From a grassroots community to a leading nonprofit in AI research.
• ​​Open-Source vs. Open-Weight: Understanding the nuances and implications for AI development.
• ​Evaluation Harness: The role of evaluation tools in AI research and industry adoption.
• ​​Multilingual and Multimodal AI: Challenges and progress in creating AI models that serve diverse communities.
• ​Industry vs. Academia in AI Research: Exploring the shifting landscape of AI innovation.

Sponsors:
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