General
PromptBeginner5 minmarkdown
toward examining internal meaning
assumptions
0
Explore
Find agent skills by outcome
110,205 skills indexed with the new KISS metadata standard.
Showing 24 of 110,205Categories: Coding & Debugging, Creative, General
General
PromptBeginner5 minmarkdown
- Introduces value trade-offs (money vs belonging
loss vs gain)
0
General
PromptBeginner5 minmarkdown
Traditional approaches use fixed metrics: sentiment scores
engagement rates
0
General
PromptBeginner5 minmarkdown
Louise
the linguist
0
General
PromptBeginner5 minmarkdown
When humanity encounters aliens
the military asks: *Are you hostile?*
0
General
PromptBeginner5 minmarkdown
print(json.dumps(results
indent=2
0
General
PromptBeginner5 minmarkdown
output = self.llm(prompt
chain.get(output_schema))
0
General
PromptBeginner5 minmarkdown
def run(self
corpus: list[dict]
0
General
PromptBeginner5 minmarkdown
prompt = render_prompt(chain[prompt]
context)
0
General
PromptBeginner5 minmarkdown
samples = stratified_sample(corpus
n=sample_size)
0
General
PromptBeginner5 minmarkdown
return {_placeholder: True
schema: output_schema}
0
General
PromptBeginner5 minmarkdown
def __init__(self
llm_fn=None):
0
General
PromptBeginner5 minmarkdown
def call_llm(prompt: str
output_schema: dict = None) -> dict | str:
0
General
PromptBeginner5 minmarkdown
value_str = json.dumps(value
indent=2
0
General
PromptBeginner5 minmarkdown
result = result.replace(placeholder
value_str)
0
General
PromptBeginner5 minmarkdown
if isinstance(value
(dict
0
General
PromptBeginner5 minmarkdown
elif isinstance(sample
str):
0
General
PromptBeginner5 minmarkdown
for key
value in variables.items():
0
General
PromptBeginner5 minmarkdown
def render_prompt(template: str
variables: dict[str
0
General
PromptBeginner5 minmarkdown
role = turn.get(role
?)
0
General
PromptBeginner5 minmarkdown
for turn in sample.get(turns
[]):
0
General
PromptBeginner5 minmarkdown
if isinstance(sample
dict):
0
General
PromptBeginner5 minmarkdown
for i
sample in enumerate(samples
0
General
PromptBeginner5 minmarkdown
# Simple stratified: divide into chunks
sample from each
0