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authorAnthony Wang2024-06-14 16:01:41 -0500
committerAnthony Wang2024-06-14 16:01:41 -0500
commit3626b03b5bd7c922c54c416e8747b2cb53a9e604 (patch)
tree35b5f6a57b1ce96026c92f00258b0030eba586a4 /static
parent0e4c762c897aa9046fb170c5c7f2203a0934b2f7 (diff)
Add commas so it's a bunch of 1s and not 111111111
Diffstat (limited to 'static')
-rw-r--r--static/src/gzip-classification.pdfbin131146 -> 131149 bytes
-rw-r--r--static/src/gzip-classification.tex2
2 files changed, 1 insertions, 1 deletions
diff --git a/static/src/gzip-classification.pdf b/static/src/gzip-classification.pdf
index 1179ee7..e6ebe77 100644
--- a/static/src/gzip-classification.pdf
+++ b/static/src/gzip-classification.pdf
Binary files differ
diff --git a/static/src/gzip-classification.tex b/static/src/gzip-classification.tex
index 7b414cb..2e2b129 100644
--- a/static/src/gzip-classification.tex
+++ b/static/src/gzip-classification.tex
@@ -191,7 +191,7 @@ class ZipModel:
\frametitle{Compression using LLMs}
\begin{itemize}
\item Idea: LLM generates list of candidate tokens, store the index of the token that the text uses
- \item Very predictable text (i.e. digits of $\pi$) turn into 11111111111111111
+ \item Very predictable text (i.e. digits of $\pi$) turn into 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
\item Then run that through gzip
\item Amazing compression ratio, but slow
\end{itemize}