1. Memory: Where the AI Stores What It Knows
Just like humans remember things, AI agents also need memory to work effectively. It helps them stay on track, recall facts, and make sense of ongoing conversations.
- Short-term Memory: This is like the AI’s recent memory. It holds temporary info such as the last few messages in a chat or the current task at hand. It helps the AI stay consistent during interactions.
- Long-term Memory: This part holds information that the AI keeps for the long haul, like facts, knowledge from past experiences, or user preferences. Over time, this allows the agent to get better at giving more accurate and helpful responses.
2. Action: The Things an AI Agent Can Actually Do
Memory helps with knowing, but Action is all about doing. These are the built-in tools that let the AI perform specific tasks depending on what you need.
Here are some of the key tools.
- Calendar: Let the AI manage schedules, set reminders, or book events.
- Calculator: Allows the AI to do math, whether it’s basic calculations or something more complex.
- Code Interpreter: Enables the AI to read, write, and even run code. This is especially handy for tech and software-related tasks.
- Search Tool: This is like giving the AI access to the internet or a knowledge base. It can look up real-time information and bring you relevant answers quickly.
In short, these tools give the AI the ability to go from just talking to actually getting things done.
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Image source: https://markovate.com
3. Planning: How the AI Thinks and Makes Smart Decisions
Planning is what brings intelligence to the table. It’s how the AI decides how to approach a task or solve a problem.
Here’s what makes up this part of the system.
- Reflection: The AI looks back at what it did earlier. Did the answer make sense? Could it have been better? This self-check helps improve future performance.
- Self-Criticism: This means the AI reviews its own work critically, finding errors or weak spots and aiming to improve on them.
- Chain of Thoughts: When a task is complex, the AI breaks it into smaller, logical steps. This method helps in solving problems more systematically.
- Subgoal Decomposition: Rather than jumping straight to the final result, the AI sets small, achievable goals that lead to the big goal, making the journey smarter and more organized.
Conclusion: In a Nutshell - It All Works Together
An AI agent is not just a chatbot; it’s a well-oiled system comprising memory to remember things, tools to take action, and strategies to think and plan. These parts work together like a team, enabling the AI to deliver helpful, thoughtful, and intelligent responses. The more we understand how it all works, the more we can imagine new possibilities and smarter applications in the world of AI.