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Event Series Special Seminar Series

Making the Most of Your Camera | James Tompkin

Halıcıoğlu Data Science Institute (HDSI), Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

Abstract: Images are everywhere, especially images of the real world, and visual computing is important both for reconstructing useful models from these images and for providing us humans with interactive […]

Event Series Special Seminar Series

Building and Deploying Large Language Model Applications Efficiently and Verifiably | Ying Sheng

Computer Science & Engineering Building (CSE), Room 1242 3234 Matthews Ln, La Jolla, CA, United States

The applications of large language models (LLMs) are increasingly complex and diverse, necessitating efficient and reliable frameworks for building and deploying them. In this talk, I will begin with algorithms and systems for serving LLMs for everyone (FlexGen, S-LoRA, VTC), highlighting the growing trend of personalized LLM services. My work addresses the need to run LLMs locally for isolated individual needs. It also tackles the problem of efficiency and service fairness when resource sharing among many users is required. Once we have efficient deployment, a primary concern is the reliability of generation. The second part of this talk aims to address this issue by exploring verifiable code generation. To achieve this, I adopt tools in formal verification to facilitate LLMs in generating correctness certificates alongside other artifacts (Clover). Finally, I will touch on future research avenues, such as integrating formal methods with LLMs and developing programming systems for generative AI.

Compassionate constructive laziness | Brad Voytek

Henry Booker Room, Jacobs Hall 2512

The Triton Neurotech and TNT Academy team is excited to announce their first event in their Professor Talk series! Join them for a talk put on by Dr. Bradley Voytek […]

TILOS Seminar: Large Datasets and Models for Robots in the Real World

Halıcıoğlu Data Science Institute (HDSI), Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

Abstract: Recent progress in AI can be attributed to the emergence of large models trained on large datasets. However, teaching AI agents to reliably interact with our physical world has proven challenging, which is in part due to a lack of large and sufficiently diverse robot datasets. In this talk, I will cover ongoing efforts of the Open X-Embodiment project–a collaboration between 279 researchers across 20+ institutions–to build a large, open dataset for real-world robotics, and discuss how this new paradigm is rapidly changing the field. Concretely, I will discuss why we need large datasets in robotics, what such datasets may look like, and how large models can be trained and evaluated effectively in a cross-embodiment cross-environment setting. Finally, I will conclude the talk by sharing my perspective on the limitations of current embodied AI agents, as well as how to move forward as a community.

Event Series Special Seminar Series

Paths to AI Accountability | Sarah H. Cen

Halıcıoğlu Data Science Institute (HDSI), Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

Speaker: Sarah H. Cen Abstract: We have begun grappling with difficult questions related to the rise of AI, including: What rights do individuals have in the age of AI? When should we […]