AI Agents: how they work and how to build them
SMRTR summary
AI Agents combine LLMs with additional capabilities, functioning like "while loops" to orchestrate tools until tasks are completed. While effective for specific tasks, concerns about job displacement may be overstated due to their limitations. Careful implementation is crucial, addressing costs, errors, and data accuracy. Developers can create AI Agents using existing frameworks or by integrating LLMs with custom tools, enabling new possibilities for automation and assistance.
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