Experiments in Science and Life: Causality, Open-source, and LLM Safety
Join us at Experiments in Science and Life: Causality, Open-source, and LLM Safety, an enlightening evening dedicated to exploring the intricate relationships of cause and effect. Hosted in collaboration with a distinguished UC Berkeley professor specializing in experiments and causality, this event delves into how causal understanding can enhance technologies and decision-making processes.
Our lineup of speakers will also address critical topics such as the safety of Large Language Models (LLMs) and the democratization of AI through open-source LLMs. Engage with cutting-edge research, participate in thought-provoking discussions, and connect with fellow AI enthusiasts and professionals. Whether you're a researcher, practitioner, or simply curious about the future of AI, this event promises to offer deep insights and stimulating conversations.
Guest speakers:
David Reiley, research scientist by trade and curious experimenter by nature, will present an excerpt from his solo theater show "Experiment: Like your life depends on it!"
A pioneer in the use of field experiments in economics over the past thirty years, David is passionate about the use of experiments to understand when one thing causes another in human behavior, from auction bidding to charitable giving to digital advertising. After a first career as a tenured professor and a second career of seventeen years as an industry research scientist, David is now attempting a career as a theater artist. This performance combines his intellectual development as an experimental scientist with a look at how David applies his scientific skills to his own love life, in a way that enabled him to survive a series of spectacular disasters. In this show, he hopes both to entertain and to educate, in an attempt to help others benefit from what he has learned.
The full show lasts two hours. In this excerpt, David will focus primarily on the lessons he's learned about experimentation and causal inference. Since understanding causality has important applications in all areas of life, those wishing to hear additional stories about his love life should consider attending the full theater experience.
David will be performing in Berkeley through the summer. Sign up for his next show here!
Soumya Batra is an expert in natural language processing with six years of experience. After earning her degree from LTI at Carnegie Mellon University, she has worked on natural language generation at Facebook and previously on natural language understanding and dialog modeling at Microsoft. Her passion lies in uncovering the mathematical principles behind model behaviors. Soumya will be sharing her insights on LLM Safety.
Sri Ambati is a visionary leader in the AI and data science space, currently serving as the CEO and Founder of H2O.ai. With a rich background in technology and engineering, he has been instrumental in democratizing AI through his company's innovative open-source platforms and machine learning solutions. Under his leadership, H2O.ai has empowered thousands of organizations to harness the power of AI, driving transformation and delivering measurable business value. Sri's passion for AI and commitment to fostering a community of data scientists and engineers have positioned him as a key influencer in the industry. Sri will share his insights on Democratizing LLMs for the people with Open Source.
Bob van Luijt is an innovative entrepreneur and technology leader, currently serving as the CEO and Co-Founder of Weaviate, an AI-powered vector search engine. With a strong background in creative technology and data science, Bob has been at the forefront of developing solutions that leverage AI to enhance data search and management. His visionary approach has propelled Weaviate to become a key player in the field, enabling organizations to unlock the full potential of their data. Bob's dedication to advancing AI technology and his ability to bridge the gap between complex technical concepts and practical applications make him a prominent figure in the tech industry.
Event Logistics:
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