Training Data
Sequoia Capital
Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society.The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an offer to buy an interest in any investment fund.
Episodes
Mentioned books
25 snips
Jul 2, 2024 • 55min
Zapier’s Mike Knoop launches ARC Prize to Jumpstart New Ideas for AGI
Mike Knoop, co-founder of Zapier, discusses launching the ARC Prize to stimulate AGI development. The podcast covers the importance of new benchmarks for AI, efficiency in acquiring skills, differences between foundation models and ArcGIS, techniques for improving puzzle solving, and advancing AI systems for reliability and innovation. The episode also explores innovative competitions, open-source collaboration, and the potential of AGI to revolutionize AI.
38 snips
Jun 25, 2024 • 59min
Factory’s Matan Grinberg and Eno Reyes Unleash the Droids on Software Development
Matan Grinberg and Eno Reyes of Factory discuss creating droids for software development, leveraging AI to enhance engineering tasks. They emphasize practicality for engineers, autonomy in software, and the importance of fast execution and obsession in building a successful company.
118 snips
Jun 18, 2024 • 50min
LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
Harrison Chase of LangChain focuses on enabling the orchestration layer for AI agents. He discusses the evolution of agents, impact on work and creativity, challenges in AI models, and solutions in LangChain. The conversation explores the role of cognitive architectures, fine tuning, and leadership reflections in the AI field.
Jun 5, 2024 • 1min
Introducing "Training Data"
Delve into the world of generative AI with leading AI builders and researchers as they discuss scaling laws, reasoning in LLMs, inference compute, and the future implications of AI technology
