Ai blog generation project -
Issues -
At regeneration time, I have issues of overall quality improvent, user instructions follow, Alignment with original context, factual accuracy, true generation ( not rephrasing, new and true content ) , also consider latency, cost, scalable
Data flow —
At regeneration, I am giving data past conversation ( first time default data- blog generation, heading h1 h2 h2 h3 so on, primary and secondary keyword, deafault prompt ) quotedblogsection , user instructions.
Note - if it is second regeneration, in second input goes like past conversation ( first time default data+ first regeneration data) . It is happening like this for every regeneration.
Note -
U can give me answer by considering all leaving latency, cost, scalable. Also If u give answers consider including all even latency cost scalable
Aprroach I have -
1.Prompt engineering approachwith pass conversation passing as a reference.
2 multiple agent approach
3 Single agent only
Question ----
1 I want to say which method work best to meet overall expectation and why. ?
2.If not work above method, what another approach I have to apply to fulfill my expection
3 Which model should I use - got 5 nano and got 4.1