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Agentic AI (Part II) -- Tools and function calling
This personal learning note walks through how to build a customized agent with local/external tools.
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Agentic AI (Part I) -- Prompt Engineering & Chain of Thought
This personal learning note includes the basic ideas and concepts in Prompt Engineering as well as the answers for these muddiest questions.
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Kalman Filter Recap
A recap of the Kalman Filter algorithm for state estimation. It also covers how it is related to the optimal state-feedback control problem.
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Reinforcement Learning Tech Tree
This is a little tech tree I've made to understand the landscape of reinforcement learning.
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ROS 2 Essentials
How ROS 2 is different from ROS.