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4k context window. is about 16kb so 10kb for input equals 10 step for loop
call afm llm model 10 times and get special summary
combine summaries into 1 unified summary
considerations:
if diff size is extremely big, we need to have some strategies to smartly processes things. because even the interim partial summaries will be too large for the final output summarization step etc. open for suggestions here etc