Nothing
Code
llm_classify(df_spark, x, c("a", "b"))
Output
<SQL>
SELECT `df`.*, ai_classify(`x`, array('a', 'b')) AS `.classify`
FROM `df`
Code
llm_vec_classify("this is a test", c("a", "b"), preview = TRUE)
Output
ollamar::chat(messages = list(list(role = "user", content = "You are a helpful classification engine. Determine if the text refers to one of the following: a, b. No capitalization. No explanations. The answer is based on the following text:\nthis is a test")),
output = "text", model = "llama3.2", seed = 100)
Code
llm_classify(reviews, review, labels = c("appliance", "computer"))
Output
review
1 This has been the best TV I've ever used. Great screen, and sound.
2 I regret buying this laptop. It is too slow and the keyboard is too noisy
3 Not sure how to feel about my new washing machine. Great color, but hard to figure
.classify
1 computer
2 computer
3 appliance
Code
llm_classify(reviews, review, pred_name = "new", labels = c("appliance",
"computer"))
Output
review
1 This has been the best TV I've ever used. Great screen, and sound.
2 I regret buying this laptop. It is too slow and the keyboard is too noisy
3 Not sure how to feel about my new washing machine. Great color, but hard to figure
new
1 computer
2 computer
3 appliance
Code
llm_classify(reviews, review, pred_name = "new", labels = c("appliance",
"computer"), additional_prompt = "Consider all laptops as appliances.")
Output
review
1 This has been the best TV I've ever used. Great screen, and sound.
2 I regret buying this laptop. It is too slow and the keyboard is too noisy
3 Not sure how to feel about my new washing machine. Great color, but hard to figure
new
1 appliance
2 computer
3 appliance
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.