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On Agentic AI: Autonomy Is All You Need!
On Agentic AI: Autonomy Is All You Need!
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There is this remarkable beauty in witnessing an AI system autonomously completes complex tasks with a level of brilliance that supersedes our reasoning capabilities/expectations - It is the holy grail of creation.
There is this remarkable beauty in witnessing an AI system autonomously completes complex tasks with a level of brilliance that supersedes our reasoning capabilities/expectations - It is the holy grail of creation.
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Giving your AI agents autonomy is analogous to us having "free will" and everything else thereafter is a cascade of possibilities and potentials waiting to unfold.
Giving your AI agents autonomy is analogous to us having "free will" and everything else thereafter is a cascade of possibilities and potentials waiting to unfold.
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As brilliantly said by 
As brilliantly said by 
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@AndrewNg
AndrewNg
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  "It’s a beautiful thing when you see an agent autonomously decide to do things in ways that you had not anticipated, and succeed as a result!"
  "It’s a beautiful thing when you see an agent autonomously decide to do things in ways that you had not anticipated, and succeed as a result!"
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Autonomy in Agentic AI
Autonomy in Agentic AI
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 - augments agents' decision-making capabilities.
 - augments agents' decision-making capabilities.
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 - enables adaptation to diverse environments.
 - enables adaptation to diverse environments.
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 - facilitates real-time learning and improvement.
 - facilitates real-time learning and improvement.
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 - fosters dynamic multi-agent collaboration.
 - fosters dynamic multi-agent collaboration.
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 - promotes efficient and independent task execution.
 - promotes efficient and independent task execution.
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 - drives innovation in dynamic and unpredictable   
 - drives innovation in dynamic and unpredictable   
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    scenarios.
    scenarios.
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This what the AutoAgents paper conveyed - A fully autonomous agentic framework that basically gives agents the free will for authentic/compelling creativity. 
This what the AutoAgents paper conveyed - A fully autonomous agentic framework that basically gives agents the free will for authentic/compelling creativity. 
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With just three dynamically predefined agents [ Planner, Agent Observer and Plan Observer ] acting collaboratively they are able to generically create autonomous agents:
With just three dynamically predefined agents [ Planner, Agent Observer and Plan Observer ] acting collaboratively they are able to generically create autonomous agents:
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```
Agent (A) =  { 
     Prompt (P) - defines agent's identity fully , 
     Description (D) - adds specific role identity, 
     Toolset (T) - equips the agent with tools, 
     Suggestion (S) - offers task execution tips
 }
```
Agent (A) =  { 
     Prompt (P) - defines agent's identity fully , 
     Description (D) - adds specific role identity, 
     Toolset (T) - equips the agent with tools, 
     Suggestion (S) - offers task execution tips
 }
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Demo: 
Demo: 
resource
https://huggingface.co/spaces/LinkSoul/AutoAgents
space
LinkSoul/AutoAgents
https://huggingface.co/spaces/LinkSoul/AutoAgents
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Code: 
Code: 
link
https://github.com/Link-AGI/AutoAgents
https://github.com/Link-AGI/AutoAgents
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Paper: 
Paper: 
link
https://arxiv.org/abs/2309.17288
https://arxiv.org/abs/2309.17288
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On Agentic AI: Autonomy Is All You Need!

There is this remarkable beauty in witnessing an AI system autonomously completes complex tasks with a level of brilliance that supersedes our reasoning capabilities/expectations - It is the holy grail of creation.

Giving your AI agents autonomy is analogous to us having "free will" and everything else thereafter is a cascade of possibilities and potentials waiting to unfold.

As brilliantly said by @AndrewNg  "It’s a beautiful thing when you see an agent autonomously decide to do things in ways that you had not anticipated, and succeed as a result!"

Autonomy in Agentic AI
 - augments agents' decision-making capabilities.
 - enables adaptation to diverse environments.
 - facilitates real-time learning and improvement.
 - fosters dynamic multi-agent collaboration.
 - promotes efficient and independent task execution.
 - drives innovation in dynamic and unpredictable   
    scenarios.

This what the AutoAgents paper conveyed - A fully autonomous agentic framework that basically gives agents the free will for authentic/compelling creativity. 

With just three dynamically predefined agents [ Planner, Agent Observer and Plan Observer ] acting collaboratively they are able to generically create autonomous agents:

```
Agent (A) =  { 
     Prompt (P) - defines agent's identity fully , 
     Description (D) - adds specific role identity, 
     Toolset (T) - equips the agent with tools, 
     Suggestion (S) - offers task execution tips
 }
```

Demo: https://huggingface.co/spaces/LinkSoul/AutoAgents
Code: https://github.com/Link-AGI/AutoAgents
Paper: https://arxiv.org/abs/2309.17288


🔥
owtx osanseviero victor NMontanaBrown