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I Build a Super AI Agent! (Is This The Future Of AI?)

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Video by: Harrish
This video explains about AI Agents and the possible future. Also I talk about how I created a super agent capable of creating other agents. Wish to automate your Youtube Channel And Sit back relax? https://www.youtube.com/playlist?list=PLkRG2mBuV2RGn1sk5Oix05KQrPzH8ABbU Chapters 00:00 What's AI Agent? 00:28 My Idea 00:52 Super AI Agent
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0:00
so what exactly is an AI agent think of
0:03
it as chgb or any other LM but the
0:06
ability to perform actions like we
0:09
searches document updates Etc but isn't
0:12
that just a bot of the language models
0:14
what truly makes it as an agent
0:16
traditional Bots are designed for
0:18
specific limited interactions a agents
0:21
however are goal oriented they can plan
0:24
execute and monitor task simulating a
0:26
more humanik problem solving approach
0:28
however I believe the potential is far
0:30
or greater imagine an ecosystem of
0:32
Agents one organizing files another
0:35
summarizing emails and so on now what if
0:37
we added a broker agent so the user
0:39
would enter a task and this broker agent
0:42
would setel the best agent for the given
0:44
task if open source millions of Agents
0:47
could be created allowing anyone to
0:48
automate any task with a Syle language
0:51
within a single interface imagine on top
0:53
of this what if you are able to create
0:55
an a agent capable of generating other a
0:58
agents I have been exploring the
1:00
feasibility of such an agent for the
1:02
past few days here's my Approach we
1:04
start by defining the agent score
1:06
capabilities for a file organizer it's
1:09
about handling files right so I use gini
1:12
to identify these critical actions and
1:14
it pointed out the essential actions
1:16
like move file create directories and
1:19
many more then we generate code for each
1:21
action and save it I'm saving it in a
1:23
common folder so we can reuse it for
1:25
different agents we're also installing
1:28
the libraries needed for the actions to
1:30
work
1:30
finally we asked Gemini to use the
1:33
actions and the inputs to create the a
1:35
agent and surprisingly it works quite
1:38
well
1:45
[Music]
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