What is an AI Agent?

Imagine you want to generate a report on the latest trends in AI research. If you use a standard LLM, you might:

1. Ask for a summary of recent AI research papers.

2. Review the response and realize you need sources.

3. Obtain a list of papers along with citations.

4. Find that some sources are outdated, so you refine your query.

5. Finally, after multiple iterations, you get a useful output.

This iterative process takes time and effort, requiring you to act as the decision-maker at every step.

Now, let’s see how AI agents handle this differently:

A Research Agent autonomously searches and retrieves relevant AI research papers from arXiv, Semantic Scholar, or Google Scholar.