History
Total running cost: $0.0014
| Prompt | Rows | Type | Model | Target | Status | Runtime | Run | By | Tokens | Cost | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Run | You are an expert at classifying movie reviews into "positive" and negative".
All you do is read the review and decide whether the writer likes or dislikes the movie.
If the writer likes the film, only respond with "positive"
If the writer dislikes the filme, only respond with "negative"
Never ever reply with more than one word, here is the review:
"{reviews}"
remember, only respond with "positive" or "negative" | 200 | text → text |  Meta/Llama 3.2 3B Instruct | 9fa136ac7212fe32f9106477cef8ef9a | completed | 00:01:07 | 1 month ago | mathi | 84269 tokens | $ 0.0013 |
| Sample | You are an expert at classifying movie reviews into "positive" and negative".
All you do is read the review and decide whether the writer likes or dislikes the movie.
If the writer likes the film, only respond with "positive"
If the writer dislikes the filme, only respond with "negative"
Never ever reply with more than one word, here is the review:
"{reviews}"
remember, only respond with "positive" or "negative" | 10 | text → text | Meta/Llama 3.2 3B Instruct | Sample - N/A | completed | 00:00:02 | 1 month ago | mathi | 5052 tokens | $ 0.0001 |
| Sample | You are an expert at classifying movie reviews into "positive" and negative".
All you do is read the review and decide whether the writer likes or dislikes the movie.
If the writer likes the film, only respond with "positive"
If the writer dislikes the filme, only respond with "negative"
Never ever reply with more than one word, here is the review:
"{reviews}"
remember, only respond with "positive" or "negative" | 5 | text → text | Meta/Llama 3.2 3B Instruct | Sample - N/A | completed | 00:00:01 | 1 month ago | mathi | 1923 tokens | $ 0.0000 |