fix indentations changed by renaming TopProbabilityMass to TopP

Author: ccreutzi

azureChat.m

@@ -19,7 +19,7 @@
 %                             reduce it. Setting Temperature=0 removes
 %                             randomness from the output altogether.
 %
-%   TopP      - Top probability mass value for controlling the
+%   TopP                    - Top probability mass value for controlling the
 %                             diversity of the output. Default value is 1;
 %                             lower values imply that only the more likely
 %                             words can appear in any particular place.
@@ -62,7 +62,7 @@
 %   azureChat Properties:
 %       Temperature          - Temperature of generation.
 %
-%       TopP   - Top probability mass to consider for generation.
+%       TopP                 - Top probability mass to consider for generation.
 %
 %       StopSequences        - Sequences to stop the generation of tokens.
 %
@@ -99,7 +99,7 @@
                 nvp.Tools                    (1,:) {mustBeA(nvp.Tools, "openAIFunction")} = openAIFunction.empty
                 nvp.APIVersion               (1,1) {mustBeAPIVersion} = "2024-02-01"
                 nvp.Temperature                    {llms.utils.mustBeValidTemperature} = 1
-                nvp.TopP             {llms.utils.mustBeValidTopP} = 1
+                nvp.TopP                           {llms.utils.mustBeValidTopP} = 1
                 nvp.StopSequences                  {llms.utils.mustBeValidStop} = {}
                 nvp.ResponseFormat           (1,1) string {mustBeMember(nvp.ResponseFormat,["text","json"])} = "text"
                 nvp.APIKey                         {mustBeNonzeroLengthTextScalar}

ollamaChat.m

@@ -17,13 +17,13 @@
 %                             values reduce it. Setting Temperature=0 removes
 %                             randomness from the output altogether.
 %
-%   TopP      - Top probability mass value for controlling the
+%   TopP                    - Top probability mass value for controlling the
 %                             diversity of the output. Default value is 1;
 %                             lower values imply that only the more likely
 %                             words can appear in any particular place.
 %                             This is also known as top-p sampling.
 %
-%   TopK       - Maximum number of most likely tokens that are
+%   TopK                    - Maximum number of most likely tokens that are
 %                             considered for output. Default is Inf, allowing
 %                             all tokens. Smaller values reduce diversity in
 %                             the output.
@@ -34,8 +34,7 @@
 %                             tail-free sampling. Lower values reduce
 %                             diversity, with some authors recommending
 %                             values around 0.95. Tail-free sampling is
-%                             slower than using TopP or
-%                             TopK.
+%                             slower than using TopP or TopK.
 %
 %   StopSequences           - Vector of strings that when encountered, will
 %                             stop the generation of tokens. Default
@@ -81,8 +80,8 @@
                 modelName                          {mustBeTextScalar}
                 systemPrompt                       {llms.utils.mustBeTextOrEmpty} = []
                 nvp.Temperature                    {llms.utils.mustBeValidTemperature} = 1
-                nvp.TopP             {llms.utils.mustBeValidTopP} = 1
-                nvp.TopK        (1,1) {mustBeReal,mustBePositive} = Inf
+                nvp.TopP                           {llms.utils.mustBeValidTopP} = 1
+                nvp.TopK                     (1,1) {mustBeReal,mustBePositive} = Inf
                 nvp.StopSequences                  {llms.utils.mustBeValidStop} = {}
                 nvp.ResponseFormat           (1,1) string {mustBeMember(nvp.ResponseFormat,["text","json"])} = "text"
                 nvp.TimeOut                  (1,1) {mustBeReal,mustBePositive} = 120

openAIChat.m

@@ -20,7 +20,7 @@
 %                             reduce it. Setting Temperature=0 removes
 %                             randomness from the output altogether.
 %
-%   TopP      - Top probability mass value for controlling the
+%   TopP                    - Top probability mass value for controlling the
 %                             diversity of the output. Default value is 1;
 %                             lower values imply that only the more likely
 %                             words can appear in any particular place.
@@ -59,7 +59,7 @@
 %
 %       Temperature          - Temperature of generation.
 %
-%       TopP   - Top probability mass to consider for generation.
+%       TopP                 - Top probability mass to consider for generation.
 %
 %       StopSequences        - Sequences to stop the generation of tokens.
 %
@@ -94,7 +94,7 @@
                 nvp.Tools                    (1,:) {mustBeA(nvp.Tools, "openAIFunction")} = openAIFunction.empty
                 nvp.ModelName                (1,1) string {mustBeModel} = "gpt-3.5-turbo"
                 nvp.Temperature                    {llms.utils.mustBeValidTemperature} = 1
-                nvp.TopP             {llms.utils.mustBeValidTopP} = 1
+                nvp.TopP                           {llms.utils.mustBeValidTopP} = 1
                 nvp.StopSequences                  {llms.utils.mustBeValidStop} = {}
                 nvp.ResponseFormat           (1,1) string {mustBeMember(nvp.ResponseFormat,["text","json"])} = "text"
                 nvp.APIKey                         {mustBeNonzeroLengthTextScalar}