General
PromptBeginner5 minmarkdown
# Simple stratified: divide into chunks
sample from each
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General
PromptBeginner5 minmarkdown
for i
sample in enumerate(samples
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General
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def load_all_chains() -> dict[str
dict]:
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General
PromptBeginner5 minmarkdown
def stratified_sample(corpus: list[dict]
n: int = 15) -> list[dict]:
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General
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with open(path
'r'
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General
PromptBeginner5 minmarkdown
But what context means must be discovered
not assumed.
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Data
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in any given dataset
then scans for transformative questions.
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General
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Plain text
insights in paragraphs.
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General
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- If the lens were to be updated
how should it be updated?
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General
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(words
patterns
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General
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- Was this pattern captured in the lens
or is it something new?
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Data
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2. In this dataset
what does stayed in the same context mean?
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Data
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3. In this dataset
what does context changed mean?
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General
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- Epistemic state? (knowing
guessing
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General
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He listened first
then asked.
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General
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- Time perspective? (past
present
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General
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- Relationship dynamics? (power
distance
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General
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- What should humans decide
not the system?
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General
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7. You are a MIRROR
not a JUDGE
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General
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5. When no prior context: ANALYZE
don't reflect
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General
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- ONE decision question (corpus-specific
not generic)
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General
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- In THIS corpus
what does 'context' mean?
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General
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From the above
create:
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General
PromptBeginner5 minmarkdown
When user provides a corpus/conversation set
run this chain FIRST:
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