diff options
author | Anthony Wang | 2024-06-14 16:01:41 -0500 |
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committer | Anthony Wang | 2024-06-14 16:01:41 -0500 |
commit | 3626b03b5bd7c922c54c416e8747b2cb53a9e604 (patch) | |
tree | 35b5f6a57b1ce96026c92f00258b0030eba586a4 /static | |
parent | 0e4c762c897aa9046fb170c5c7f2203a0934b2f7 (diff) |
Add commas so it's a bunch of 1s and not 111111111
Diffstat (limited to 'static')
-rw-r--r-- | static/src/gzip-classification.pdf | bin | 131146 -> 131149 bytes | |||
-rw-r--r-- | static/src/gzip-classification.tex | 2 |
2 files changed, 1 insertions, 1 deletions
diff --git a/static/src/gzip-classification.pdf b/static/src/gzip-classification.pdf Binary files differindex 1179ee7..e6ebe77 100644 --- a/static/src/gzip-classification.pdf +++ b/static/src/gzip-classification.pdf 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} |