Building an AI Agent Application
In the previous chapter, we discussed how an LLM can extend its capabilities by using other tools. We also saw some examples of how the use of multiple agents at the same time (instead of one) can be used to solve more complex tasks. We extensively discussed how these approaches can be used in various industries and how they can be revolutionary for so many applications. However, we also highlighted two of the limitations of agents: scalability and the complexity of connecting an agent with different tools.
In this chapter, we will expand on these challenges and show how we can overcome them. We will pick up from these two limitations. So far, we have treated multi-agent systems as standalone entities running on a personal computer. In the final section of the previous chapter, we explored the exciting new business paradigms emerging with AI. Agents are poised to play a significant role across industries in the future, but for that to happen, agent...
