NVIDIA LLM
Reference
Generative AI and digitalization are reshaping the $3 trillion automotive industry, from design and engineering to manufacturing, autonomous driving, and customer experience. NVIDIA is at the epicenter of this industrial transformation.
Categories: [artificial-intelligence]
Version: 1
Connections
Version: 1
Bearer Token
Properties
Name | Type | Control Type | Description |
---|---|---|---|
Token | STRING | TEXT |
Actions
Ask
Ask anything you want.
Properties
Name | Type | Control Type | Description |
---|---|---|---|
Model | STRING | TEXT | ID of the model to use. |
Messages | [{STRING(content), STRING(role)}] | ARRAY_BUILDER | A list of messages comprising the conversation so far. |
Response Format | INTEGER | SELECT | In which format do you want the response to be in? |
Response Schema | STRING | TEXT_AREA | Define the JSON schema for the response. |
Max Tokens | INTEGER | INTEGER | The maximum number of tokens to generate in the chat completion. |
Number of Chat Completion Choices | INTEGER | INTEGER | How many chat completion choices to generate for each input message. |
Temperature | NUMBER | NUMBER | Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic. |
Top P | NUMBER | NUMBER | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. |
Frequency Penalty | NUMBER | NUMBER | Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood to repeat the same line verbatim. |
Presence Penalty | NUMBER | NUMBER | Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics. |
Logit Bias | {} | OBJECT_BUILDER | Modify the likelihood of specified tokens appearing in the completion. |
Stop | [STRING] | ARRAY_BUILDER | Up to 4 sequences where the API will stop generating further tokens. |
Functions | [STRING] | ARRAY_BUILDER | Enter the names of functions you want to use. |
User | STRING | TEXT | A unique identifier representing your end-user, which can help admins to monitor and detect abuse. |