O que são AGENTES de IA: APRENDA do ZERO!

Summary

In this video, the presenter explains AI agents, breaking down the concept for beginners. They compare AI agents with chatbots like GPT, highlighting key differences such as the ability of AI agents to make autonomous decisions and use advanced tools. Through practical examples, including agents created on platforms like n8n, the video shows how these agents interact with both virtual and physical environments, offering flexibility and autonomy. Viewers are guided through the process of creating personalized agents to perform tasks like sending emails or scheduling appointments, while also touching on more advanced agents from companies like OpenAI and Grock.

Takeaways

• 😀 AI agents are autonomous systems designed to perform tasks independently by interacting with both physical and virtual environments.
• 😀 The script emphasizes that while AI agents from companies like OpenAI or Grock are more advanced, personal agents can still be created within platforms like n8n for simpler tasks.
• 😀 AI agents have the ability to make decisions, analyze environments, and use tools such as Python for generating new functions, which makes them distinct from basic chatbots.
• 😀 A major difference between AI agents and chatbots is that agents can perform tasks autonomously, while chatbots like GPT-4 can only provide information but cannot execute actions like sending emails or accessing calendars.
• 😀 AI agents are capable of interacting with various tools and databases, making them more efficient in specialized tasks compared to traditional chatbots.
• 😀 The speed of AI is incomparable to other technologies, and with each passing month, the capabilities of AI agents continue to advance rapidly.
• 😀 The video compares the limitations of GPT chatbots with the more advanced features of AI agents, like access to tools and databases for deeper, more complex tasks.
• 😀 n8n is a platform that allows users to create automated agents with access to tools like Telegram, memory, and custom prompts, making it a practical solution for non-technical users.
• 😀 The difference between 'agents' and 'automated agents' lies in the scope of their functionality, with advanced agents being more autonomous and powerful, whereas automated agents are simpler and focused on specific tasks.
• 😀 The script discusses real-world applications of advanced agents, like the ability to interact with audio files, perform deep searches, or create complex class notes through autonomous decisions and tool usage.

Q & A

What are AI agents and how do they function?

AI agents are systems designed to perform tasks autonomously by interacting with an environment. They can analyze both physical and virtual environments and make decisions based on the data they collect. In the video, the focus is on virtual agents, such as those created in platforms like n8n.

What is the main difference between AI agents and chatbots?

AI agents are more advanced than chatbots. While chatbots like GPT chat can assist with tasks like generating content, AI agents have the ability to autonomously perform tasks, interact with external tools and databases, and make decisions. Chatbots do not natively have the ability to perform actions like sending emails or accessing calendars, which AI agents can.

What are the capabilities of advanced AI agents created by companies like OpenAI?

Advanced AI agents, like those developed by OpenAI, can autonomously create new tools using programming languages like Python, run terminals, and perform complex tasks. They can also interact with databases, make real-time decisions, and complete processes that require reasoning, such as classifying information or analyzing audio files.

What are some of the limitations of GPT chat compared to AI agents?

GPT chat is limited in several ways compared to AI agents. It cannot perform actions such as sending emails, accessing calendars, or working with external databases without specific integrations. It also has restrictions on the volume of data it can handle, whereas AI agents can work with larger datasets and more complex tasks.

How do n8n agents differ from advanced AI agents from major companies?

n8n agents are simpler and designed for specific, practical tasks like scheduling appointments or sending emails. While they can follow workflows and use predefined tools, they do not have the same level of autonomy or advanced capabilities as agents developed by companies like OpenAI, which can perform complex tasks like creating new tools and analyzing data autonomously.

What are 'GPTs' in the context of the video?

GPTs are personalized versions of GPT chat. Users can upload documents, PDFs, and other text-based files into these GPTs, allowing them to respond with information tailored to those specific documents. However, there are limitations in the number of files that can be uploaded, and the responses can still be prone to hallucinations.

What is the distinction between an 'agent' and an 'automation' within platforms like n8n?

In platforms like n8n, agents are often referred to as automations. An agent within n8n is essentially an automation that follows a workflow to complete tasks. While it can analyze data and interact with various tools, it is generally more limited in functionality compared to more advanced agents that have broader autonomy and the ability to create tools in real time.

How do AI agents in platforms like n8n use memory?

In platforms like n8n, AI agents can use memory to remember previous interactions. This allows them to provide more personalized responses and perform actions based on past conversations, making them more efficient in completing tasks over time.

What is an example of an advanced task performed by an AI agent from OpenAI or other companies?

An example of an advanced task is the transformation of an audio file into class notes. The AI agent listens to the audio, processes the content, and creates a detailed summary or notes. This task is possible because these agents can run code, interact with external tools like Python, and make autonomous decisions.

What role does a 'tool' play in an AI agent's functionality?

A 'tool' in an AI agent’s functionality refers to specific capabilities or services that the agent can use to perform tasks. For example, an agent can use a tool to send emails through Gmail or Outlook. These tools enable the agent to interact with external systems and accomplish tasks that require access to external resources.