The Agentic Loop and the ReAct Pattern
About this video
The agentic loop (reason, act, observe) in motion.
The ReAct pattern (Reason + Act) organizes an agent as a repeating three-step loop: reason about what to do, take an action with a tool, and observe the result. Introduced by Yao and colleagues in 2022, it interleaves reasoning and acting so the model can plan, consult external sources, and fix its own mistakes as it goes.
Video transcript
- 0:01 An agent does not answer in one shot.
- 0:03 It plans the next step, calls a tool and reads the result.
- 0:07 It repeats the loop until the goal is met, then answers.
More videos
Explainer
The Computational Graph and Automatic Differentiation
The computational graph and automatic differentiation, in action.
Explainer
Backpropagation: The Step-by-Step Derivation
The backpropagation derivation, factor by factor with the chain rule.
Explainer
Backpropagation: The Intuition
The intuition of backpropagation: the error flows backward through the network.
Explainer
Batch, Stochastic and Mini-Batch Gradient Descent
Batch, stochastic and mini-batch: three ways to traverse the data.