Dontopedia

temperature

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temperature is Controls the randomness of predictions.

72 facts·49 predicates·10 sources·6 in dispute

Mostly:rdf:type(8), affects(6), influences(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (21)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

hasParameterHas Parameter(7)

includesParameterIncludes Parameter(2)

combinesCombines(1)

containsContains(1)

containsTemperatureContains Temperature(1)

hasListItemHas List Item(1)

hasPartHas Part(1)

influencedByInfluenced by(1)

involvesInvolves(1)

isControlledByIs Controlled by(1)

isEffectOfIs Effect of(1)

parameterParameter(1)

referencesConceptReferences Concept(1)

specifiesParameterSpecifies Parameter(1)

Other facts (66)

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.

66 facts
PredicateValueRef
Rdf:typeLlm Parameter[3]
Rdf:typeFunction Parameter[4]
Rdf:typeStability Parameter[4]
Rdf:typeFloat Parameter[5]
Rdf:typeParameter[6]
Rdf:typeApi Parameter[7]
Rdf:typeLlm Parameter[9]
Rdf:typeHyperparameter[10]
AffectsDeterministic[3]
AffectsRandomness[3]
AffectsDeterminism[3]
AffectsPrediction Randomness[7]
AffectsOutput Consistency[9]
Affectscreativity[10]
InfluencesResponse Variability[2]
InfluencesCreativity Level[2]
InfluencesRandomness Degree[2]
Has Default Value0[4]
Has Default Value0[5]
Has Value0[5]
Has Value0.8[8]
Describes FunctionRandomness Control[6]
Describes FunctionControls the randomness of predictions[7]
Controls CreativityAI Generation[1]
Has Semantic Meaningcontrols randomness[2]
Part ofParameters[2]
Has Level3[2]
Configures BehaviorConcept Llm[2]
Behavioral Control forSampling Section[2]
Has Priority3[2]
Data Typefloat[2]
Optional in Parameter Settrue[2]
Parameter Position3[2]
Depth in Hierarchy3[2]
Parameter Idtemperature[3]
DescriptionControls the randomness of predictions[3]
Lower Values Effectmake the model more deterministic[3]
Higher Values Effectintroduce more randomness[3]
Typical Range0.0 to 1.0[3]
Recommended Value for Stability0.0 or a very low value (e.g., 0.1)[3]
Related toOutput Stability Llm[3]
Order in List1[3]
Has Typical Range Lower0[3]
Has Typical Range Upper1[3]
Recommended for Stability0[3]
Alternative Recommended for Stability0.1[3]
Inverse Effecthigher randomness with higher values[3]
Affects Model Behaviordeterminism[3]
ControlsRandomness and Variability[3]
Markdown Format1. **Temperature (`temperature`)**:[3]
Has Description FieldControls the randomness of predictions[3]
Has Typical Range Field0.0 to 1.0[3]
Has Recommended Value Field0.0 or a very low value (e.g., 0.1)[3]
Is Key Parametertrue[3]
Has Recommended Value0.0 or a very low value (e.g., 0.1)[3]
Markdown Identifier1.[3]
Has Recommended Range0.0 to 0.1[3]
Is Parameter ofLlm Provider[3]
Has Inverse Relationshiphigher values introduce more randomness[3]
Markdown BoldTemperature[3]
Markdown Codetemperature[3]
Has Default Value Numeric0[4]
Ensures Deterministic OutputDeterministic Output[5]
Is Function ArgumentMake Request[5]
Has PurposeDeterministic Output[5]
Has Nametemperature[7]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

controlsCreativityblah/watt-activation/part-697
ex:ai-generation
labelblah/agents/6
temperature
hasSemanticMeaningblah/agents/6
controls randomness
partOfblah/agents/6
ex:parameters
hasLevelblah/agents/6
3
configuresBehaviorblah/agents/6
ex:concept-llm
behavioralControlForblah/agents/6
ex:sampling-section
hasPriorityblah/agents/6
3
dataTypeblah/agents/6
float
optionalInParameterSetblah/agents/6
true
parameterPositionblah/agents/6
3
influencesblah/agents/6
ex:response-variability
influencesblah/agents/6
ex:creativity-level
influencesblah/agents/6
ex:randomness-degree
depthInHierarchyblah/agents/6
3
typebeam/facb7a91-c095-4e78-aae7-894ac249cc1f
ex:LLMParameter
namebeam/facb7a91-c095-4e78-aae7-894ac249cc1f
Temperature
parameterIdbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
temperature
descriptionbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
Controls the randomness of predictions
lowerValuesEffectbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
make the model more deterministic
higherValuesEffectbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
introduce more randomness
typicalRangebeam/facb7a91-c095-4e78-aae7-894ac249cc1f
0.0 to 1.0
recommendedValueForStabilitybeam/facb7a91-c095-4e78-aae7-894ac249cc1f
0.0 or a very low value (e.g., 0.1)
relatedTobeam/facb7a91-c095-4e78-aae7-894ac249cc1f
ex:output-stability-llm
affectsbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
ex:deterministic
affectsbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
ex:randomness
orderInListbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
1
hasTypicalRangeLowerbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
0
hasTypicalRangeUpperbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
1
recommendedForStabilitybeam/facb7a91-c095-4e78-aae7-894ac249cc1f
0
alternativeRecommendedForStabilitybeam/facb7a91-c095-4e78-aae7-894ac249cc1f
0.1
inverseEffectbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
higher randomness with higher values
affectsModelBehaviorbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
determinism
controlsbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
ex:randomness-and-variability
markdownFormatbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
1. **Temperature (`temperature`)**:
hasDescriptionFieldbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
Controls the randomness of predictions
hasTypicalRangeFieldbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
0.0 to 1.0
hasRecommendedValueFieldbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
0.0 or a very low value (e.g., 0.1)
labelbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
Temperature
isKeyParameterbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
true
hasRecommendedValuebeam/facb7a91-c095-4e78-aae7-894ac249cc1f
0.0 or a very low value (e.g., 0.1)
markdownIdentifierbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
1.
affectsbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
ex:determinism
hasRecommendedRangebeam/facb7a91-c095-4e78-aae7-894ac249cc1f
0.0 to 0.1
isParameterOfbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
ex:llm-provider
hasInverseRelationshipbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
higher values introduce more randomness
markdownBoldbeam/facb7a91-c095-4e78-aae7-894ac249cc1f
Temperature
markdownCodebeam/facb7a91-c095-4e78-aae7-894ac249cc1f
temperature
typebeam/59551a8e-a76d-457a-8de4-93425a6c9d97
ex:FunctionParameter
labelbeam/59551a8e-a76d-457a-8de4-93425a6c9d97
temperature
hasDefaultValuebeam/59551a8e-a76d-457a-8de4-93425a6c9d97
0
typebeam/59551a8e-a76d-457a-8de4-93425a6c9d97
ex:StabilityParameter
hasDefaultValueNumericbeam/59551a8e-a76d-457a-8de4-93425a6c9d97
0
hasValuebeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
0
ensuresDeterministicOutputbeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
ex:deterministic-output
typebeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
ex:float-parameter
isFunctionArgumentbeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
ex:make_request
hasDefaultValuebeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
0
hasPurposebeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
ex:deterministic-output
typebeam/d59323af-3b71-4a73-a6ea-52478b9a5355
ex:Parameter
labelbeam/d59323af-3b71-4a73-a6ea-52478b9a5355
temperature
describesFunctionbeam/d59323af-3b71-4a73-a6ea-52478b9a5355
ex:randomness-control
typebeam/d522a1ab-3d61-47e6-bc79-21358f4b3013
ex:APIParameter
describesFunctionbeam/d522a1ab-3d61-47e6-bc79-21358f4b3013
Controls the randomness of predictions
hasNamebeam/d522a1ab-3d61-47e6-bc79-21358f4b3013
temperature
affectsbeam/d522a1ab-3d61-47e6-bc79-21358f4b3013
ex:prediction-randomness
hasValueblah/watt-activation/146
0.8
typebeam/c3930930-58ad-404d-879e-6280fbe5dd16
ex:LLMParameter
affectsbeam/c3930930-58ad-404d-879e-6280fbe5dd16
ex:output-consistency
typebeam/e30baae4-2e87-4553-85fe-589ce5804ef9
ex:Hyperparameter
labelbeam/e30baae4-2e87-4553-85fe-589ce5804ef9
Temperature Hyperparameter
affectsbeam/e30baae4-2e87-4553-85fe-589ce5804ef9
creativity

References (10)

10 references
  1. [1]Part 6971 fact
    ctx:discord/blah/watt-activation/part-697
  2. [2]614 facts
    ctx:discord/blah/agents/6
    • full textctx:discord/blah/agents/6
      text/plain1 KBdoc:discord/blah/agents/6
      Show excerpt
      [2026-03-15 03:03] traves_theberge: The key insight: LLM + loop + tools = agent The Agent Loop The core while-loop Code: basic loop skeleton Stop conditions: end_turn, max_iterations, human approval Sampling (The Model Layer) Making API
  3. ctx:claims/beam/facb7a91-c095-4e78-aae7-894ac249cc1f
  4. ctx:claims/beam/59551a8e-a76d-457a-8de4-93425a6c9d97
    • full textbeam-chunk
      text/plain1 KBdoc:beam/59551a8e-a76d-457a-8de4-93425a6c9d97
      Show excerpt
      4. **Repetition Penalty (`repetition_penalty`)**: - **Description**: Penalizes the model for repeating the same tokens, which can help in generating more diverse and coherent text. - **Typical Range**: 1.0 to 2.0 - **Recommended Va
  5. ctx:claims/beam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
      Show excerpt
      "temperature": temperature, "top_k": top_k, "top_p": top_p, "repetition_penalty": repetition_penalty, "seed": seed } try: response = requests.post(endpoint, headers=headers, json=
  6. ctx:claims/beam/d59323af-3b71-4a73-a6ea-52478b9a5355
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d59323af-3b71-4a73-a6ea-52478b9a5355
      Show excerpt
      - `presence_penalty`: Penalizes new tokens based on their presence in the text so far. - `frequency_penalty`: Penalizes new tokens based on their frequency in the text so far. ### Example: Hugging Face Transformers Documentation For H
  7. ctx:claims/beam/d522a1ab-3d61-47e6-bc79-21358f4b3013
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d522a1ab-3d61-47e6-bc79-21358f4b3013
      Show excerpt
      - Visit the official website of the LLM provider. - Navigate to the "API" or "Documentation" section. - Look for the specific API endpoint you are using (e.g., `/completions`, `/chat`, etc.). 2. **Parameter Descriptions**: - Ea
  8. [8]1461 fact
    ctx:discord/blah/watt-activation/146
    • full textwatt-activation-146
      text/plain3 KBdoc:agent/watt-activation-146/fa0e4e9e-fbeb-4d37-b509-b10657e6245c
      Show excerpt
      [2026-03-09 15:21] xenonfun: Loading checkpoint: checkpoints/tinystories/best Model: 108.3M params vocab=100277 Prompt: 'Once upon a time' temp=0.8 top_k=40 stop=<|endoftext|> (100257) ──────────────────────────────────────────────────
  9. ctx:claims/beam/c3930930-58ad-404d-879e-6280fbe5dd16
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c3930930-58ad-404d-879e-6280fbe5dd16
      Show excerpt
      Here's an example of how you might analyze the data: ```python import pandas as pd # Load the data data = pd.read_csv("data.csv") # Define a function to analyze the data def analyze_data(data): # Perform some analysis on the data (e.
  10. ctx:claims/beam/e30baae4-2e87-4553-85fe-589ce5804ef9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e30baae4-2e87-4553-85fe-589ce5804ef9
      Show excerpt
      ### Step 3: Experimenting with LLM Configuration Settings Finally, we can experiment with different LLM configuration settings to find the optimal balance between creativity and consistency. ### Example LLM Configuration Optimization Code

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