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# mall | ||
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<img src="figures/favicon/apple-touch-icon-180x180.png" style="float:right" /> | ||
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Run multiple LLM predictions against a data frame. The predictions are | ||
processed row-wise over a specified column. It works using a | ||
pre-determined one-shot prompt, along with the current row’s content. | ||
`mall` is now available in both R and Python. | ||
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To find out how to install and use, or just to learn more about it, please | ||
visit the official website: https://edgararuiz.github.io/mall/ | ||
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@@ -25,8 +25,8 @@ mall::llm_use("ollama", "llama3.2", seed = 100, .cache = "_readme_cache") | |
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Run multiple LLM predictions against a data frame. The predictions are processed | ||
row-wise over a specified column. It works using a pre-determined one-shot prompt, | ||
along with the current row's content. The prompt that is use will depend of the | ||
type of analysis needed. | ||
along with the current row's content. `mall` has been implemented for both R | ||
and Python. The prompt that is use will depend of the type of analysis needed. | ||
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Currently, the included prompts perform the following: | ||
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::: {.panel-tabset group="language"} | ||
## R | ||
```r | ||
pak::pak("edgararuiz/mall/r@python") | ||
pak::pak("edgararuiz/mall/r") | ||
``` | ||
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## python | ||
```python | ||
pip install "mall @ git+https://[email protected]/edgararuiz/mall.git@python#subdirectory=python" | ||
pip install "mall @ git+https://[email protected]/edgararuiz/mall.git#subdirectory=python" | ||
``` | ||
::: | ||
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