No Priors: Artificial Intelligence | Technology | Startups

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33 snips
May 4, 2023 • 40min

Personalizing AI Models with Kelvin Guu, Senior Staff Research Scientist, Google Brain

Kelvin Guu, a Senior Staff Research Scientist at Google Brain, leads innovations in retrieval-augmented language models. In this discussion, he unpacks how to personalize AI models efficiently, exploring the advantages of using external data sources for training. Kelvin also shares insights on the REALM model's architecture, emphasizing its modular and adaptive nature. The conversation dives into the complexities of knowledge representation in AI and the importance of aligning models with user values, providing a glimpse into the future of AI innovations.
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36 snips
Apr 27, 2023 • 34min

Listener Q&A: AI Investment Hype, Foundation Models, Regulation, Opportunity Areas, and More

Listeners dive into the evolving world of open-source AI models and the competitive landscape shaping the industry. The hosts discuss the excitement and hype surrounding AI investments, drawing parallels with past tech trends. They examine the delicate balance between necessary regulation and innovation, particularly in addressing potential risks. The impact of AI on healthcare and drug development is explored, highlighting how targeted AI applications can enhance efficiency and improve clinical outcomes. It's a thought-provoking look at the future of technology!
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48 snips
Apr 20, 2023 • 45min

The Computing Platform Underlying AI, with Jensen Huang, Founder & CEO of NVIDIA

Jensen Huang, founder and CEO of NVIDIA, a key player in GPUs and AI, shares insights from his remarkable journey in tech. He discusses how NVIDIA's A100 GPU is revolutionizing AI, shifting the landscape beyond gaming. The conversation delves into long-term bets in healthcare and climate science, highlighting innovative tools like Earth 2 and Clara. Jensen also reveals his perspective on entrepreneurship, balancing innovation with market demands, and ends with a light-hearted chat about his iconic leather jackets.
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32 snips
Apr 13, 2023 • 30min

Your AI Friends Have Awoken, With Noam Shazeer

Noam Shazeer, Co-founder and CEO of Character AI and AI pioneer from Google, dives into the fascinating world of personalized AI bots. He discusses his groundbreaking work on the Transformer architecture and its role in modern AI. Noam reveals how users can engage with customized bots that embody various personalities, from famous figures to fictional characters. He also touches on user engagement strategies and the ethical considerations in launching advanced AI systems, hinting at a promising future for AI interaction.
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84 snips
Apr 6, 2023 • 39min

The Future is Small Models, with Matei Zaharia, CTO of Databricks

Matei Zaharia, Cofounder and Chief Technologist at Databricks, shares insights on the evolution of AI and small models like Dolly. With just $30 and one server, anyone can now create capable AI models. Zaharia discusses the shift away from massive data sets and manual training annotations. He reflects on his journey from a PhD student working on Spark to leading a critical data infrastructure company. The episode also explores the future of AI in tech decision-making and the importance of streamlined data management.
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28 snips
Mar 30, 2023 • 36min

What’s Beyond GitHub Copilot? With Copilot's Chief Architect and founder of Minion.AI Alex Graveley

Dive into the revolutionary impact of AI on coding with insights from the Chief Architect of GitHub Copilot. Discover how this groundbreaking tool reshapes developer workflows and fuels numerous AI startups. The conversation also explores the evolution of personal assistance technologies and the vision behind Minion, designed to simplify daily tasks. Tune in for thoughts on the hiring challenges in AI, the intricacies of scaling these technologies, and the broader implications for society amidst rapid advancements.
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10 snips
Mar 23, 2023 • 39min

How do we go from search engines to answer engines? With Perplexity AI’s Aravind Srinivas and Denis Yarats

Aravind Srinivas, Co-founder and CEO of Perplexity AI and former OpenAI research scientist, along with Denis Yarats, Co-founder and CTO with a machine learning background from Facebook AI, discuss the future of search. They explain how their startup aims to transform traditional search engines into conversational answer engines. Topics include the importance of rapid iteration in tech, innovative hiring practices, and navigating the shift from academia to industry in AI. Their insights reveal a vision for more intuitive and trustworthy digital information retrieval.
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23 snips
Mar 16, 2023 • 36min

What is the future of search? With Neeva’s Sridhar Ramaswamy

Sridhar Ramaswamy, the co-founder of Neeva and a former Google executive, dives into the future of search and the challenges posed by AI. He discusses how LLMs are transforming traditional search methods and the competitive landscape with giants like Google and Bing integrating AI. Ramaswamy also highlights the importance of privacy in search and shares insights on the distribution challenges faced by new platforms. He wraps up with bold predictions on AI's broader impact on industries and user experiences.
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42 snips
Mar 9, 2023 • 47min

What is the role of academia in modern AI research? With Stanford Professor Dr. Percy Liang

Dr. Percy Liang, a Stanford computer science professor and director of the Stanford Center for Research on Foundation Models, discusses the pivotal role of academia in AI research. He highlights the shift from human-like to superhuman intelligence ambitions. The conversation delves into innovative language models like GPT-3 and the necessity of transparency in AI development. Liang also advocates for community-driven AI initiatives and the use of decentralized computing to propel future advancements, stressing the ethical responsibilities that come with these technologies.
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Mar 2, 2023 • 46min

How AI can make drug discovery fail less, with Daphne Koller from Insitro

Daphne Koller, CEO of Insitro and a former Stanford professor, discusses the transformative role of AI in drug discovery. She shares her journey from tech to biotech, emphasizing the potential of induced pluripotent stem cells. Koller dives into how machine learning can tackle significant challenges in drug development, including the complexities of diseases like schizophrenia. She also highlights the importance of creating a collaborative culture that bridges biology and computer science for meaningful innovation.

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