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ZX

Zheng Xue

05/30/25

@ LangChain

For complex queries, we employ text-to-code generation capabilities with human supervision to ensure accurate execution of tasks.

Video

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How JP Morgan Built An AI Agent for Investment Research with LangGraph | LangChain Interrupt

@ LangChain

How JP Morgan Built An AI Agent for Investment Research with LangGraph | LangChain Interrupt

05/30/25

Related Takeaways

C

Carlos

05/24/25

@ LangChain

The supervisor approach decomposes complex customer queries across specialized agents, allowing us to achieve higher accuracy levels in our responses.

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LangChain Cast

05/30/25

@ LangChain

Incorporating human oversight is critical, especially in high-stakes environments, to ensure accuracy and reliability in AI-generated responses.

JO

John Ousterhout

04/09/25

@ The Pragmatic Engineer

AI tools will make it easier to generate low-level code, improving autocomplete capabilities and potentially producing high-quality code.

YC

Y Combinator Cast

06/28/24

@ Y Combinator

AI tools can assist in coding, but the real-world complexities of software development require human insight and creativity to navigate effectively.

CO

Christopher O'Donnell

04/01/25

@ Sequoia Capital

The fundamental work we're doing involves taking natural language and transforming it into structured output, which became possible in mid-2024.

MT

Michael Truell

06/11/25

@ Y Combinator

Our primary focus is to assist professional programmers, as they increasingly use AI to write a significant portion of their code, but they still need to review everything generated by AI.

ZX

Zheng Xue

05/30/25

@ LangChain

The structured data agent translates natural language into SQL queries or API calls, while the unstructured data agent processes various documentations and media to derive insights.

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Amjad Masad

10/18/24

@ Y Combinator

It's crucial for users to learn coding basics, as the AI agent can assist but may still require human intervention for debugging and understanding code.

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Paul Eremenko

05/27/25

@ Sequoia Capital

Currently, we manually build the component catalog for synthetic data generation, but we are developing AI tools to automate this process and intelligently assemble components into systems.