Intent Precision
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Intent Precision has 9 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(3), has value(1), has unit(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (9)
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contentContainsContent Contains(2)
- Turn 10472
ex:turn-10472 - Turn 10473
ex:turn-10473
measuresMeasures(2)
- Performance Evaluation Task
ex:performance-evaluation-task - Precision
ex:precision
mentionsMentions(2)
- Turn 10472
ex:turn-10472 - Turn 10473
ex:turn-10473
attemptingToOptimizeAttempting to Optimize(1)
- User 10470
ex:user-10470
evaluatesEvaluates(1)
- Step 3
ex:step-3
targetMetricTarget Metric(1)
- Experiment to Improve Intent Precision
ex:experiment-to-improve-intent-precision
Other facts (8)
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Timeline
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References (3)
ctx:claims/beam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75- full textbeam-chunktext/plain1 KB
doc:beam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75Show excerpt
[Turn 10470] User: I'm trying to optimize the intent precision of my LLM prompts, and I've been experimenting with different context weights. Currently, I'm achieving 88% intent precision on 2,500 test queries, but I want to improve it furt…
ctx:claims/beam/d307a23c-1866-4ea9-9a82-42827b961a77- full textbeam-chunktext/plain1 KB
doc:beam/d307a23c-1866-4ea9-9a82-42827b961a77Show excerpt
context_weights['system_state'] = combo[2] context_weights['external_data_sources'] = combo[3] # Ensure the sum of weights equals 1 total_weight = sum(context_weights.values()) normalized_weights = {k: v / total_wei…
ctx:claims/beam/5da37977-83e8-48be-bdd8-808083c26ac7
See also
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