Unsupported answer
Model input
Standard plan allows 5 projects.
Generate grounded question-and-answer examples from supplied source material.
Step 01
Upload sample data, define your output schema, and provide feedback on the hardest cases.
A question answerable from the supplied source material.
A direct answer grounded entirely in that source.
The source passage that supports the answer.
The kind of information the example teaches.
Generate grounded question-and-answer examples from supplied source material.
Standard plan allows 5 projects.
Sutro can now generalize the rules based on your feedback.
Step 02
Compare quality and cost on your examples, then choose a model or use Sutro’s default.
Compare models on expert agreement and cost. The interactive chart uses illustrative measurements.
Illustrative sweep · select Value or Best to use that model in your function.
Step 03
Call Sutro Functions like any other software. Swap the model as soon as something more performant is released.
import sutro as so
input_data = {
"text": "Standard plan allows 5 projects."
}
result = so.run_function(
"synthetic-instruction-q-a-generation",
input_data,
)curl --fail-with-body -X POST "${SUTRO_API_URL%/}/v1/functions/synthetic-instruction-q-a-generation/run" \
-H "Authorization: Key $SUTRO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"text": "Standard plan allows 5 projects."
}
}'import sutro as so
job_id = so.batch_run_function(
name="synthetic-instruction-q-a-generation",
data="synthetic_instruction_q_a_generation.csv",
)
results = so.await_job_completion(job_id)curl --fail-with-body -X POST "${SUTRO_API_URL%/}/v1/batch-inference" \
-H "Authorization: Key $SUTRO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "synthetic-instruction-q-a-generation",
"inputs": [
{
"text": "Standard plan allows 5 projects."
}
]
}'