6d • General Discussion
If you keep hearing the word “AI agent” but still aren’t sure what it means, here is a clear explanation.
This is the 1-minute version of the 45-minute workshop I delivered yesterday.
An AI agent starts with something simple.
An LLM.
And an LLM is basically a text prediction machine.
It guesses the next word based on probabilities.
When I type “the quick brown fox” you will see the model pick “jumps” with the highest probability.
Same when I type “the president of the US is” you will see it predict “Donald…” and continue from there.
This is simplified, but this is how it works.
One token at a time.
On their own, LLMs are static.
They do not do anything.
They just predict text.
An AI agent is what happens when you take this LLM and you attach tools to it.
For example, the model can run a web search tool.
Or call an API.
Or trigger an action.
Then it reads the results.
Decides what to do next.
Maybe calls another tool.
And keeps iterating until it solves the task.
Agents also include instructions and memory. Short term and long term.
So in a nutshell. An AI agent is an LLM combined with tools and reasoning loops.
It turns a text predictor into a system that can plan, act, and solve real tasks.
#aiagents #ai
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If you keep hearing the word “AI agent” but still aren’t sure what it means, here is a clear explanation.
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