AI Agents: A Comprehensive Introduction for Developers
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Agents and agentic workflows are the latest buzzwords in the generative AI ecosystem. But like any emerging technology, the terminology and definition of agents is diverse and often confusing for developers. To help demystify agents, in this article we offer a comprehensive resource for developers who are already familiar with the fundamentals of large language models and prompt engineering. We will help you dissect every aspect of the anatomy of an agent and map it to the technical implementation. In followup posts, we will apply these concepts to some of the popular agentic frameworks, such as AutoGen and CrewAI.
A note on agentic frameworks: while these can help you get started, they are often abstract and hide the core concepts from developers. The most effective way to learn AI agents is to design and build them from the ground up. So in this post, we will compare and contrast an AI agent with a traditional agent role — such as in a contact center. By doing this, you will be able to conceptualize and understand how closely AI agents mimic their human counterparts.
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