The Future of Open-Source AI and Research Infrastructure
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.