.RData
gapminder
git config
filter()
select()
mutate()
arrange()
rename()
group_by()
saveRDS()
readRDS()
dput()
dget()
tibble::tibble()
tibble::tribble()
with()
ggsave()
Rplots.pdf
dplyr
aggregate()
NA
...
rnorm()
runif()
rpois()
rep()
letters
LETTERS
each
times
length.out
replicate()
for()
uiOutput()
You can follow along with the slides [here][d32_llmapplications] if they do not appear below.
[Content on text generation, summarization, classification, etc.]