Sign up to save your podcasts
Or
Share Introducing "Training Data," a new podcast from Sequoia about the future of A.I.
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Introducing "Training Data," a new podcast from Sequoia about the future of A.I.
Crucible Moments will be back shortly with season 2. You’ll hear from the founders of YouTube, DoorDash, Reddit, and more. In the meantime, we’d love to introduce you to a new original podcast, Training Data, where Sequoia partners learn from builders, researchers and founders who are defining the technology wave of the future: AI. The following conversation with Harrison Chase of LangChain is all about the future of AI agents—why they’re suddenly seeing a step change in performance, and why they’re key to the promise of AI.
Follow Training Data wherever you listen to podcasts, and keep an eye out for Season 2 of Crucible Moments, coming soon.
LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
Hosted by: Sonya Huang and Pat Grady, Sequoia Capital
Mentioned:
ReAct: Synergizing Reasoning and Acting in Language Models, the first cognitive architecture for agents
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering, small-model open-source software engineering agent from researchers at Princeton
Devin, autonomous software engineering from Cognition
V0: Generative UI agent from Vercel
GPT Researcher, a research agent
Language Model Cascades: 2022 paper by Google Brain and now OpenAI researcher David Dohan that was influential for Harrison in developing LangChain
Transcript: https://www.sequoiacap.com/podcast/training-data-harrison-chase/
View all episodes
By Sequoia Capital
4.9
9090 ratings
Crucible Moments will be back shortly with season 2. You’ll hear from the founders of YouTube, DoorDash, Reddit, and more. In the meantime, we’d love to introduce you to a new original podcast, Training Data, where Sequoia partners learn from builders, researchers and founders who are defining the technology wave of the future: AI. The following conversation with Harrison Chase of LangChain is all about the future of AI agents—why they’re suddenly seeing a step change in performance, and why they’re key to the promise of AI.
Follow Training Data wherever you listen to podcasts, and keep an eye out for Season 2 of Crucible Moments, coming soon.
LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
Hosted by: Sonya Huang and Pat Grady, Sequoia Capital
Mentioned:
ReAct: Synergizing Reasoning and Acting in Language Models, the first cognitive architecture for agents
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering, small-model open-source software engineering agent from researchers at Princeton
Devin, autonomous software engineering from Cognition
V0: Generative UI agent from Vercel
GPT Researcher, a research agent
Language Model Cascades: 2022 paper by Google Brain and now OpenAI researcher David Dohan that was influential for Harrison in developing LangChain
Transcript: https://www.sequoiacap.com/podcast/training-data-harrison-chase/
More shows like Crucible Moments
View all
This Week in Startups
1,294 Listeners
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
533 Listeners
Masters in Business
2,166 Listeners
a16z Podcast
1,086 Listeners
Founders
2,111 Listeners
Y Combinator Startup Podcast
235 Listeners
The Prof G Pod with Scott Galloway
5,484 Listeners
All-In with Chamath, Jason, Sacks & Friedberg
9,852 Listeners
Dwarkesh Podcast
500 Listeners
Business Breakdowns
351 Listeners
ACQ2 by Acquired
260 Listeners
No Priors: Artificial Intelligence | Technology | Startups
129 Listeners
BG2Pod with Brad Gerstner and Bill Gurley
503 Listeners
Prof G Markets
1,340 Listeners
Training Data
40 Listeners