Maybe it depends on the model but I find you'll get a different result if you say "write a dialog in which, A, B, and C talk about D" versus "read what A said and reply as B". The latter will result in each participant talking longer.
Not sure talking longer is the goal. More so, the focus and separation of each facilitates a interplay and dynamic with which an attention window on a segmented linear response (be A, B and C) cannot be individually represent nearly as rhobustly (the main inference is the primary focus). Would love to hear some other opinions chime in here.
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Maybe it depends on the model but I find you'll get a different result if you say "write a dialog in which, A, B, and C talk about D" versus "read what A said and reply as B". The latter will result in each participant talking longer.
Not sure talking longer is the goal. More so, the focus and separation of each facilitates a interplay and dynamic with which an attention window on a segmented linear response (be A, B and C) cannot be individually represent nearly as rhobustly (the main inference is the primary focus). Would love to hear some other opinions chime in here.
additionally, each agent can be a model using its own RAG or training data as well