Dontopedia

Weight Combination

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Weight Combination has 3 facts recorded in Dontopedia across 3 references.

3 facts·3 predicates·3 sources
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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evaluatesPerCombinationEvaluates Per Combination(1)

iterationVariableIteration Variable(1)

Other facts (3)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

3 facts
PredicateValueRef
Tested byStep 2[1]
Rdf:typeTuple[2]
Evaluated byEvaluate Intent Precision[3]

Timeline

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testedBybeam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75
ex:step-2
typebeam/d307a23c-1866-4ea9-9a82-42827b961a77
ex:Tuple
evaluatedBybeam/8c53f93c-330d-4b71-9b2a-a7c521b5200c
ex:evaluate_intent_precision

References (3)

3 references
  1. ctx:claims/beam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75
      Show 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
  2. ctx:claims/beam/d307a23c-1866-4ea9-9a82-42827b961a77
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d307a23c-1866-4ea9-9a82-42827b961a77
      Show 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
  3. ctx:claims/beam/8c53f93c-330d-4b71-9b2a-a7c521b5200c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8c53f93c-330d-4b71-9b2a-a7c521b5200c
      Show excerpt
      # Evaluate the precision precision = evaluate_intent_precision(normalized_weights, test_queries) # Track the best combination if precision > best_precision: best_precision = precision best_weights = norm

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