AI agents are intelligent assistants capable of performing tasks and interacting dynamically with their environment. Unlike rigid, rule-based systems, they learn and adapt, behaving like sophisticated robots tackling diverse challenges.
However, what distinguishes AI agents from other AI technologies, such as the widely known large language models?
This article clarifies this distinction and introduces CrewAI, a freely available, open-source Python framework streamlining the creation of multi-agent AI systems. We'll examine the differences between agents and language models, highlight the significance of agent frameworks in AI application development, and illustrate how CrewAI facilitates agent collaboration for optimal outcomes.
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