Why Computer Science Students Should Learn AI Agent Development — Key Benefits Explained!

 

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In traditional development, the programming is always based on some use case scenarios, or the business want to record operations. But today, AI has changed everything. For example, you will create an app that recognizes the speech, calls the API, and monitors the progress of task execution.

AI brings many advantages to creating active agents that work on behalf of the user.

For example:

1. Your AI agent can read the mobile phone screen content and record the user activity.
2. AI agents help the applications to call mini-programs to execute tasks.
3. You can embed the AI agents in WhatsApp or Facebook for vertical scenarios such as medical consultation assistants.
4. The AI agents are proficient in repetitive tasks, but some agents enhance human activity, like analyzing the critical reports and summarizing the results.

Technical architecture

Every AI agent you want to create is always based on the following four factors:

1. Perception
2. Reasoning
3. Execution
4. Analysis

The above four factors are similar to human nature, like reception, analysis and decision-making, action, and review. Moreover, the AI is used to simulate human intelligence, and AI agents are able to think, learn, reason, make decisions, and communicate like humans.

Most importantly, the AI agents are mainly based on LLM (Large Language Model), which works as the brain of the agent. The LLM first breaks the problem into subproblems, and then you can use the other tools, such as RAG or Vincent, to solve the final problem.

Use cases

1. The AI agent teaches people in a targeted manner, like moms and dads no longer worry about the children’s progress.
2. The AI agents work like personal butlers or play music for you. Write the email for you.
3. The AI trading agents can plan buying and selling opportunities and make automatic trading decisions.

In summary, if you want to succeed in the future, then AI product managers, AI development engineers, AI algorithm engineers, AI artificial intelligence trainers, and large model development engineers are the best positions in the future.