Marketing is less common of an agentic use cases on larger enterprises. Support on the other side becomes more relevant.
"We jumped from a 10% accuracy to a 70%+ accuracy on code generation with Agents and leveraging CrewAI"
It's still early on the journey for most companies, but use cases are making into production in a faster pace than expected.
Companies focusing on creating predictable use cases by leveraging features like CrewAI Guardrails and Flows are getting to value faster.
Furthermore, larger enterprises have 23% more cases already in production when comparing to the rest.
Jupiter notebook code reference in Github.
Executed in comparison with Example provided by LangChain from it's tutorials.
Jupiter notebook code reference in Github.
Executed in comparison with Example provided by LangChain from it's tutorials.
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