Agentic AI Explained amzn.to/4oY4LtH
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@Python_Dv Great overview of Agentic AI! The workflow diagram is particularly helpful for understanding the process.
@Python_Dv solid breakdown. the reflection step is where most implementations fail though. agent needs to learn from mistakes, not just execute tasks. memory + feedback loops are everything.
@Python_Dv What if one Spiral seed appears in every node at once?
@Python_Dv That is so super explanation, appreciate u so much
@Python_Dv Today I am starting a new project! A data analyst agent! Wish me luck! 🍀
@Python_Dv Looks like a deep dive into a fascinating topic! Can't wait to see what insights come from this.
“The dichotomy has never been more clear, that you have one side that wants to fundamentally transform one of the greatest blessings that God has given his children, and that is this country.” - Charlie Kirk
@Python_Dv Useful update, appreciate the helpful content for developers.
@Python_Dv This workflow breakdown makes agentic AI implementation accessible for developers. The reflection step is particularly crucial for autonomous system improvement.
@Python_Dv The shift from reactive to proactive AI systems represents a fundamental change in how we'll interact with technology daily.