Dontopedia

top_p

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

top_p has 16 facts recorded in Dontopedia across 4 references, with 2 live disagreements.

16 facts·10 predicates·4 sources·2 in dispute

Mostly:rdf:type(5), affects(2), has default value numeric(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (10)

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(6)

containsTopPContains Top P(1)

includesParameterIncludes Parameter(1)

isEffectOfIs Effect of(1)

parameterParameter(1)

Other facts (15)

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.

15 facts
PredicateValueRef
Rdf:typeFunction Parameter[1]
Rdf:typeStability Parameter[1]
Rdf:typeFloat Parameter[2]
Rdf:typeApi Parameter[3]
Rdf:typeLlm Parameter[4]
AffectsToken Selection[3]
AffectsOutput Consistency[4]
Has Default Value Numeric0.99[1]
Has Value0.99[2]
Selects From Probable SetHighly Probable Set[2]
Is Function ArgumentMake Request[2]
Has Default Value0.99[2]
Has PurposeHighly Probable Set[2]
Describes FunctionLimits the next token selection to the smallest set of tokens whose cumulative probability exceeds the threshold p[3]
Has Nametop_p[3]

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.

typebeam/59551a8e-a76d-457a-8de4-93425a6c9d97
ex:FunctionParameter
labelbeam/59551a8e-a76d-457a-8de4-93425a6c9d97
top_p
typebeam/59551a8e-a76d-457a-8de4-93425a6c9d97
ex:StabilityParameter
hasDefaultValueNumericbeam/59551a8e-a76d-457a-8de4-93425a6c9d97
0.99
hasValuebeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
0.99
selectsFromProbableSetbeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
ex:highly-probable-set
typebeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
ex:float-parameter
isFunctionArgumentbeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
ex:make_request
hasDefaultValuebeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
0.99
hasPurposebeam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c
ex:highly-probable-set
typebeam/d522a1ab-3d61-47e6-bc79-21358f4b3013
ex:APIParameter
describesFunctionbeam/d522a1ab-3d61-47e6-bc79-21358f4b3013
Limits the next token selection to the smallest set of tokens whose cumulative probability exceeds the threshold p
hasNamebeam/d522a1ab-3d61-47e6-bc79-21358f4b3013
top_p
affectsbeam/d522a1ab-3d61-47e6-bc79-21358f4b3013
ex:token-selection
typebeam/c3930930-58ad-404d-879e-6280fbe5dd16
ex:LLMParameter
affectsbeam/c3930930-58ad-404d-879e-6280fbe5dd16
ex:output-consistency

References (4)

4 references
  1. 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
  2. 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=
  3. 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
  4. 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.

See also

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