The LLM first reasons about the problem and generates a plan of action. It then performs the actions in the plan and observes the results.
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Agents begin their work with either a command from, or interactive discussion with, the human user.
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During execution, it's crucial for the agents to gain “ground truth” from the environment at each step...to assess its progress.
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LLMs are tuned to follow instructions and are trained on large amounts of data so they can understand a prompt and generate an answer.
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Once the task is clear, agents plan and operate independently, potentially returning to the human for further information or judgement.
Unknown[1]
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