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LangChain shows AI agents aren’t human-level yet because they’re overwhelmed by tools
LangChain evaluated a single AI agent to see if its performance degrades when given more context and tools, essentially overwhelming it.
The main question LangChain hoped to answer was, “At what point does a single ReAct agent become overloaded with instructions and tools, and subsequently sees performance drop?” “This agent is our internal email assistant, which is responsible for two main domains of work — responding to and scheduling meeting requests and supporting customers with their questions.” “In other words, the agent needs to remember specific instructions provided, such as exactly when it should schedule meetings with different parties,” the researchers wrote.
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