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Andrew Ng: State of AI Agents | LangChain Interrupt
@ LangChain
05/29/25
Takeaways
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Andrew Ng
05/29/25
@ LangChain
Most successful AI agents start with simple linear workflows rather than complex autonomous systems, which allows for easier implementation and scaling.
AN
Andrew Ng
05/29/25
@ LangChain
I see more opportunities in linear workflows with occasional side branches, as many business processes are still fairly linear.
AN
Andrew Ng
05/29/25
@ LangChain
The challenge for businesses is breaking down existing processes into sequential micro-tasks to create agentic workflows.
AN
Andrew Ng
05/29/25
@ LangChain
It's important to establish the right evaluation framework to understand the performance of the overall system and trace individual steps.
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Andrew Ng
05/29/25
@ LangChain
The 'Lego brick' approach to AI development involves quickly combining specialized tools rather than building everything from scratch.
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Andrew Ng
05/29/25
@ LangChain
Many developers overlook the importance of creating simple evaluations, which can help identify regressions and improve system performance incrementally.
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Andrew Ng
05/29/25
@ LangChain
Voice applications are massively underrated by developers, yet they hold significant potential for reducing user friction in large enterprises.
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Andrew Ng
05/29/25
@ LangChain
Using AI assistance in coding significantly increases development speed compared to those who don't use it.
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Andrew Ng
05/29/25
@ LangChain
Many companies still have policies that restrict engineers from using AI-assisted coding, which needs to change for better productivity.
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Andrew Ng
05/29/25
@ LangChain
Everyone should learn to code, as it enhances their ability to communicate effectively with computers, leading to improved productivity across various job functions.
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Andrew Ng
05/29/25
@ LangChain
At AI Fund, everyone, including non-technical staff, knows how to code, which helps them perform their roles more effectively.
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Andrew Ng
05/29/25
@ LangChain
Voice applications reduce user friction by allowing users to express their thoughts verbally, which is often less intimidating than typing.
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Andrew Ng
05/29/25
@ LangChain
In voice interactions, latency is crucial; responses should ideally be under one second to maintain a good user experience.
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Andrew Ng
05/29/25
@ LangChain
Using background noise in voice applications can make users more accepting of latency, improving their overall experience.
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Andrew Ng
05/29/25
@ LangChain
MCP (Model Context Protocol) is a promising standard that simplifies data integration for AI applications, but it still needs to evolve.
AN
Andrew Ng
05/29/25
@ LangChain
The most critical predictors of AI startup success are speed and deep technical knowledge, which are essential for effective execution.
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Andrew Ng
05/29/25
@ LangChain
Understanding how technology works is a rare but crucial skill for startup success, as it allows for faster and more effective decision-making.