gemini_searchR: Generate text with real-time information using Gemini (Retrieval)
Description
Generate text responses with simplified access to Gemini models
Usage
gemini_searchR(
prompt,
model = "1.5-flash",
temperature = 1,
maxOutputTokens = 8192,
topK = 40,
topP = 0.95,
seed = 1234
)
Value
Generated text response from the Gemini model
Arguments
- prompt
The prompt or question to ask
- model
The model to use. Options are "1.5-flash", "1.5-pro". Default is '1.5-flash'.
see https://ai.google.dev/gemini-api/docs/models/gemini
- temperature
The temperature to use. Default is 1 value should be between 0 and 2
see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters
- maxOutputTokens
The maximum number of tokens to generate.
Default is 8192 and 100 tokens correspond to roughly 60-80 words.
- topK
The top-k value to use. Default is 40 value should be between 0 and 100
see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters
- topP
The top-p value to use. Default is 0.95 value should be between 0 and 1
see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters
- seed
The seed to use. Default is 1234 value should be integer
see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters
See Also
https://ai.google.dev/docs/gemini_api_overview#text_input
Examples
Run this codeif (FALSE) {
library(gemini.R)
setAPI("YOUR_API_KEY")
gemini_searchR("Who won the latest F1 grand prix?")
}
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