ag_news_sample

A 100-row subset of the AG News Topic Classification dataset consisting of
25 documents from each of the four classes (World, Sports, Business,
Sci/Tech). The sample is intended for quick demonstrations and tests without
requiring the full external dataset.

datasets

Provides R bindings to the 'llama.cpp' library for running large language models.
The package uses a lightweight architecture where the C++ backend library is downloaded
at runtime rather than bundled with the package.
Package features include text generation, reproducible generation, and parallel inference.

Yaosheng Xu

localLLM

Running Local LLMs with 'llama.cpp' Backend

Eddie Yang

ag_news_sample function

A data frame with 100 rows and 3 character columns:<dl>
 <dt>class</dt>
<dd>News topic label (<code>"World"</code>, <code>"Sports"</code>, <code>"Business"</code>, or <code>"Sci/Tech"</code>).</dd> <dt>title</dt>
<dd>Headline of the news article.</dd> <dt>description</dt>
<dd>Short description for the article.</dd>
</dl>

Format

AG News classification sample — ag_news_sample

A data frame with 100 rows and 3 character columns:<dl>
 <dt>class</dt>
<dd>News topic label (<code>"World"</code>, <code>"Sports"</code>, <code>"Business"</code>, or <code>"Sci/Tech"</code>).</dd>

 <dt>title</dt>
<dd>Headline of the news article.</dd>

 <dt>description</dt>
<dd>Short description for the article.</dd>


</dl>

ag_news_sample: AG News classification sample

Description

Usage

Arguments

Format

Details

See Also