temperature
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
temperature is Controls the randomness of predictions.
Mostly:rdf:type(8), affects(6), influences(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound 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)
- Api Request Function
ex:api-request-function - Llm Configuration
ex:llm-configuration - Llm Provider
ex:llm-provider - Make Request Function
ex:make-request-function - Model Class
ex:model-class - Openai Completion Endpoint
ex:openai-completion-endpoint - Pipeline Class
ex:pipeline-class
includesParameterIncludes Parameter(2)
- Api Payload
ex:api-payload - Parameters
ex:parameters
combinesCombines(1)
- Parameter Combination
ex:parameter-combination
containsContains(1)
- Parameters Section
ex:parameters-section
containsTemperatureContains Temperature(1)
- Payload Dictionary
ex:payload-dictionary
hasListItemHas List Item(1)
- Parameters Section
ex:parameters-section
hasPartHas Part(1)
- Parameters
ex:parameters
influencedByInfluenced by(1)
- Creativity
ex:creativity
involvesInvolves(1)
- Parameter Configuring
ex:parameter-configuring
isControlledByIs Controlled by(1)
- Randomness and Variability
ex:randomness-and-variability
isEffectOfIs Effect of(1)
- Deterministic Output
ex:deterministic-output
parameterParameter(1)
- Openai Completion Endpoint
ex:openai-completion-endpoint
referencesConceptReferences Concept(1)
- Sampling Section
ex:sampling-section
specifiesParameterSpecifies Parameter(1)
- Log Entry 2026 03 09 15 21
ex:log-entry-2026-03-09-15-21
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Llm Parameter | [3] |
| Rdf:type | Function Parameter | [4] |
| Rdf:type | Stability Parameter | [4] |
| Rdf:type | Float Parameter | [5] |
| Rdf:type | Parameter | [6] |
| Rdf:type | Api Parameter | [7] |
| Rdf:type | Llm Parameter | [9] |
| Rdf:type | Hyperparameter | [10] |
| Affects | Deterministic | [3] |
| Affects | Randomness | [3] |
| Affects | Determinism | [3] |
| Affects | Prediction Randomness | [7] |
| Affects | Output Consistency | [9] |
| Affects | creativity | [10] |
| Influences | Response Variability | [2] |
| Influences | Creativity Level | [2] |
| Influences | Randomness Degree | [2] |
| Has Default Value | 0 | [4] |
| Has Default Value | 0 | [5] |
| Has Value | 0 | [5] |
| Has Value | 0.8 | [8] |
| Describes Function | Randomness Control | [6] |
| Describes Function | Controls the randomness of predictions | [7] |
| Controls Creativity | AI Generation | [1] |
| Has Semantic Meaning | controls randomness | [2] |
| Part of | Parameters | [2] |
| Has Level | 3 | [2] |
| Configures Behavior | Concept Llm | [2] |
| Behavioral Control for | Sampling Section | [2] |
| Has Priority | 3 | [2] |
| Data Type | float | [2] |
| Optional in Parameter Set | true | [2] |
| Parameter Position | 3 | [2] |
| Depth in Hierarchy | 3 | [2] |
| Parameter Id | temperature | [3] |
| Description | Controls the randomness of predictions | [3] |
| Lower Values Effect | make the model more deterministic | [3] |
| Higher Values Effect | introduce more randomness | [3] |
| Typical Range | 0.0 to 1.0 | [3] |
| Recommended Value for Stability | 0.0 or a very low value (e.g., 0.1) | [3] |
| Related to | Output Stability Llm | [3] |
| Order in List | 1 | [3] |
| Has Typical Range Lower | 0 | [3] |
| Has Typical Range Upper | 1 | [3] |
| Recommended for Stability | 0 | [3] |
| Alternative Recommended for Stability | 0.1 | [3] |
| Inverse Effect | higher randomness with higher values | [3] |
| Affects Model Behavior | determinism | [3] |
| Controls | Randomness and Variability | [3] |
| Markdown Format | 1. **Temperature (`temperature`)**: | [3] |
| Has Description Field | Controls the randomness of predictions | [3] |
| Has Typical Range Field | 0.0 to 1.0 | [3] |
| Has Recommended Value Field | 0.0 or a very low value (e.g., 0.1) | [3] |
| Is Key Parameter | true | [3] |
| Has Recommended Value | 0.0 or a very low value (e.g., 0.1) | [3] |
| Markdown Identifier | 1. | [3] |
| Has Recommended Range | 0.0 to 0.1 | [3] |
| Is Parameter of | Llm Provider | [3] |
| Has Inverse Relationship | higher values introduce more randomness | [3] |
| Markdown Bold | Temperature | [3] |
| Markdown Code | temperature | [3] |
| Has Default Value Numeric | 0 | [4] |
| Ensures Deterministic Output | Deterministic Output | [5] |
| Is Function Argument | Make Request | [5] |
| Has Purpose | Deterministic Output | [5] |
| Has Name | temperature | [7] |
Timeline
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References (10)
ctx:discord/blah/watt-activation/part-697ctx:discord/blah/agents/6- full textctx:discord/blah/agents/6text/plain1 KB
doc:discord/blah/agents/6Show 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…
ctx:claims/beam/facb7a91-c095-4e78-aae7-894ac249cc1fctx:claims/beam/59551a8e-a76d-457a-8de4-93425a6c9d97- full textbeam-chunktext/plain1 KB
doc:beam/59551a8e-a76d-457a-8de4-93425a6c9d97Show 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…
ctx:claims/beam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c- full textbeam-chunktext/plain1 KB
doc:beam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1cShow 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=…
ctx:claims/beam/d59323af-3b71-4a73-a6ea-52478b9a5355- full textbeam-chunktext/plain1 KB
doc:beam/d59323af-3b71-4a73-a6ea-52478b9a5355Show 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…
ctx:claims/beam/d522a1ab-3d61-47e6-bc79-21358f4b3013- full textbeam-chunktext/plain1 KB
doc:beam/d522a1ab-3d61-47e6-bc79-21358f4b3013Show 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…
ctx:discord/blah/watt-activation/146- full textwatt-activation-146text/plain3 KB
doc:agent/watt-activation-146/fa0e4e9e-fbeb-4d37-b509-b10657e6245cShow 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) ──────────────────────────────────────────────────…
ctx:claims/beam/c3930930-58ad-404d-879e-6280fbe5dd16- full textbeam-chunktext/plain1 KB
doc:beam/c3930930-58ad-404d-879e-6280fbe5dd16Show 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.…
ctx:claims/beam/e30baae4-2e87-4553-85fe-589ce5804ef9- full textbeam-chunktext/plain1 KB
doc:beam/e30baae4-2e87-4553-85fe-589ce5804ef9Show 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…
See also
- AI Generation
- Parameters
- Concept Llm
- Sampling Section
- Response Variability
- Creativity Level
- Randomness Degree
- Llm Parameter
- Output Stability Llm
- Deterministic
- Randomness
- Randomness and Variability
- Determinism
- Llm Provider
- Function Parameter
- Stability Parameter
- Deterministic Output
- Float Parameter
- Make Request
- Parameter
- Randomness Control
- Api Parameter
- Prediction Randomness
- Output Consistency
- Hyperparameter
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