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Reinforcement learning provides a definition of the right action based on rewards, unlike large language models that lack a clear goal or ground truth.

Reinforcement learning (RL) is considered basic AI because it focuses on understanding the world through experience, unlike large language models (LLMs) which mimic human behavior.

Reinforcement learning is considered basic AI because it focuses on understanding the world through experience, unlike large language models that mimic human behavior.

Reinforcement learning defines the right action as the one that maximizes reward, providing a clear goal, unlike large language models.

Reinforcement learning is about understanding the world through experience, unlike large language models (LLMs) that mimic human responses without understanding.

The future of AI involves continual learning from experience, where knowledge is about predicting and understanding the stream of actions and rewards.

Reinforcement learning is considered basic AI because it focuses on understanding the world through experience, unlike large language models which mimic human responses.