Toolformer

Separates planning from execution in agent architectures.

Extending agents with long-term memory stores.

Multiple agents interacting cooperatively or competitively.

Coordination arising without explicit programming.

Learning from data generated by a different policy.

Learning only from current policy’s data.

Balancing learning new behaviors vs exploiting known rewards.

Continuous cycle of observation, reasoning, action, and feedback.