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LLMFunctions

Guides

  • LLM Functionality

Symbols

  • ChatEvaluate
  • ChatObject
  • GenerateLLMToolResponse
  • ImageSynthesize
  • LLMConfiguration
  • LLMEvaluator
  • LLMExampleFunction
  • LLMFunction
  • LLMPrompt
  • LLMResourceFunction
  • LLMSynthesize
  • LLMTool
  • LLMToolRequest
  • LLMToolResponse
  • $LLMEvaluator
[
EXPERIMENTAL
]
LLMPrompt
​
LLMPrompt["name"]
gives the
TemplateObject
for the specified large language model prompt.
​
​
LLMPrompt[resource]
retrieves the
TemplateObject
for the specified
resource
.
​
​
LLMPrompt[…,params]
gives the
TemplateObject
with slots filled in by
params
.
​
​
LLMPrompt[…][
p
1
,
p
2
,…]
applies a template with numbered slots to parameter values
p
i
.
​
​
LLMPrompt[…]
[
key
1

p
1
,
key
2

p
2
]
​ applies a template with named slots to parameter data.
​
Details and Options

Examples  
(6)
Basic Examples  
(3)
Retrieve a prompt template from the
Wolfram Prompt Repository
:
In[1]:=
LLMPrompt
["ELI5"]
Out[1]=
TemplateObject
​
Content: Answer questions as if the listener is a five year old child.​
1
TemplateSlot count: 1
Parameters: —

​
Apply an
LLMPrompt
to values to get a prompt string:
In[1]:=
LLMPrompt
["InformalRephrase"]["Welcome colleagues"]
Out[1]=
Rewrite the following text using informal language. Response with the corrected text and nothing else.​Welcome colleagues
​
Insert values into an
LLMPrompt
:
In[1]:=
LLMPrompt
["InformalRephrase",{"Welcome colleagues"}]
Out[1]=
TemplateObject
​
Content: Rewrite the following text using informal language. Response with the corrected text and nothing else.​Welcome colleagues
Parameters: —

Scope  
(3)

SeeAlso
LLMFunction
 
▪
LLMSynthesize
 
▪
LLMResourceFunction
RelatedGuides
▪
LLM Functionality
""

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