Agents: From \"Chatting\" to \"Doing\"
The Brain in a Jar
A standard LLM (like ChatGPT) is a brain in a jar. It can think, but it cannot touch the world. It can write an email, but it cannot send it. It can write code, but it cannot run it.The Agent
An Agent is an LLM equipped with Tools.- The Brain: Llama 3 (Decides what to do).
- The Hands: Google Search API, Python Code Interpreter, File System Access.
The Loop (ReAct)
Agents operate in a loop called ReAct (Reason + Act).
- Thought: \"The user wants the weather in Tokyo. I don't know it.\"
- Plan: \"I should use my 'Google Search' tool.\"
- Action: *Executes search for 'Tokyo weather'*
- Observation: \"The search result says 22°C.\"
- Final Answer: \"It is 22°C in Tokyo.\"
Why it changes everything
Instead of you doing the work, you give the Agent a goal: \"Research my top 3 competitors and save the analysis to a CSV file.\" The Agent autonomously searches, reads, summarizes, creates the file, and saves it.
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Curriculum: 8.9.8.2 - Local AI Agents (Autonomous Tasks) (Difficulty: Hero | Path: Lab)
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