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Build reliable agents for long-running tasks. Loop Engineering with LangChain Deep Agents: add loops that check output, trigger runs on events, and improve the harness from traces across runs. Taught by Sydney Runkle and Esmaeil Gargari. Enroll for free:

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DeepLearning.AI

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38,533 Aufrufe • vor 14 Tagen •via X (Twitter)

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Profilbild von Deependra
Deependravor 14 Tagen

@LangChain @sydneyrunkle @EAGar123 Thank you Andrew sir for making us understand more.

Profilbild von Anand Butani
Anand Butanivor 14 Tagen

@LangChain @sydneyrunkle @EAGar123 Most long-running agent failures I'd guess are silent drift: the loop passes its own check while the output slowly rots

Profilbild von MASA
MASAvor 14 Tagen

@LangChain @sydneyrunkle @EAGar123 How do you prevent verification loops from hallucinating their own success?

Profilbild von Ash Hart
Ash Hartvor 13 Tagen

@LangChain @sydneyrunkle @EAGar123 I'd put a hard limit on retries from the start.

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