What exactly is the AI ​​Agent that OpenAI's CEO is talking about?

As one of the directions for the implementation of AI applications, the concept of AI Agent has attracted the attention of many enterprises and practitioners. So, what exactly is AI Agent? How does AI Agent work? Let’s take a look at the analysis and interpretation of this article

Why you need to understand AI Agent? Because investors are currently only paying attention to AI Agent companies, and AI cutting-edge companies such as OpenAI are studying it.

AI Agent is a way to implement AI applications

There is a joke in the entrepreneurial circle. I have a great idea, but all I need is a programmer. In the future, AI Agent will be the "programmer" who helps you realize your ideas.

After reading this article, you will understand what an AI agent is and how it works

1. What is AI Agent

AI Agent refers to Artificial Intelligence Agent, which is an intelligent entity that can perceive the environment, make decisions, and perform actions.

The AI ​​agent is like a Xiaoai classmate, it lives in your mobile phone or computer and has wisdom and observation capabilities

When you say to it: "Classmate Xiaoai, I feel a little uncomfortable."

It will magically observe your status, body temperature and activity track in the last 24 hours, combined with data and information on the Internet, and after a series of dazzling analysis, it will obtain the result in 1 second. Come to the conclusion, you are already "yang"

Next, we will take the initiative to generate a leave request form for you. You only need to nod to confirm, and we will send the leave request form to your leader

I also thoughtfully tell you that I no longer have enough ibuprofen and mineral water at home. I have already selected the products for you. As long as you give an order, they will be delivered to your doorstep in 30 minutes.

I feel that it is not wise to drive now. We can take the bus home and we will be downstairs in 10 minutes. Let’s leave quickly

This is the result of a series of Agents working together.

2. So excellent, how does it work

Through this picture, we can clearly understand how the AI ​​agent works. It shows the process of an agent processing, analyzing and responding to external information

I don’t quite understand, right? Let me explain.

AI Agent can be divided into four parts:

Rewrite the content as follows: 1. Perception

• This is the first step in the process. AI establishes a perception of the external world through sensors, cameras, microphones, etc.
• Inputs: Perceived information is input into the system. In this example, the input is: "I'm a little uncomfortable", my body temperature, mental state, sleep time, etc.
• External environment (Environment): The environment or context in which the system is located. For example, "I feel a little uncomfortable" will involve the weather, environment (such as whether you are in a place with pollen allergies), etc.

2. Information processing (Agent’s brain)

It can be said to be a general large model with N multiple knowledge bases, used to process information. Contains the following systems:

1) Information storage related

Memory system: including storage and memory, used to store long-term and short-term data

For example, long-term data is my basic information, hobbies, basic diseases, etc.;

The content that needs to be rewritten is: short-term data. For example, there is only 1 bottle of mineral water left in my house. This memory can be deleted after purchase. Rewritten content: For example, I only have one bottle of mineral water left at home. I can delete this memory after buying a new one

Rewritten content: Knowledge base (Knowledge): including medical knowledge base, product base, etc., used to diagnose my current condition, and carry out subsequent treatment and management necessary for life

2) Large model processes information

Process based on the perceived information (input environment), memory, knowledge base, etc., and draw a conclusion (decision): "I am sick, and it is "yang""

3) Then make the next step plan (Planning).

Action/Reasoning is a specific action based on its decision, but it has not been implemented yet.

Help me write a leave request, help me buy medicine, buy water, call a taxi, etc.

3. Execution (Action)

Through the analysis of a series of complex operations of Barin, we have drawn conclusions and formulated next plans, and now we need to start executing actions

The large model itself cannot complete these tasks and needs to call external tools.

At this time, third-party tools (Tools and Calling API) will be used to interact with other apps through interfaces or applications to achieve the final effect.

4. Output

After execution, an exit is needed to tell you the execution results. For example, my classmate Xiaoai. It tells you: "You are positive, and I have already written a leave request and called a taxi for you."

The overall description of this system is a simplified model that shows how an AI agent starts from sensing information, goes through a series of internal processing and decision-making, and finally responds

3. Summary In summary, we can draw the following conclusions:

AI Agent is an important direction for the future development of artificial intelligence

It can be a personal assistant or a helper at your work. It can amplify your abilities. Make up for your shortcomings and make you a super individual.

Reprinting without permission is prohibited. This content is originally published by @ Product Brief Talk on Everyone is a Product Manager

Title picture comes from Unsplash, based on CC0 protocol

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