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clarify truncation

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rasbt 2024-06-08 13:13:43 -05:00
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1 changed files with 12 additions and 4 deletions
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ch03/01_main-chapter-code/ch03.ipynb
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@ -205,7 +205,10 @@
"id": "fcc7c7a2-b6ab-478f-ae37-faa8eaa8049a",
"metadata": {},
"source": [
"<img src=\"https://sebastianraschka.com/images/LLMs-from-scratch-images/ch03_compressed/07.webp\" width=\"400px\">"
"<img src=\"https://sebastianraschka.com/images/LLMs-from-scratch-images/ch03_compressed/07.webp\" width=\"400px\">\n",
"\n",
"- (Please note that the numbers in this figure are truncated to one\n",
"digit after the decimal point to reduce visual clutter; similarly, other figures may also contain truncated values)"
]
},
{
@ -268,11 +271,13 @@
"id": "299baef3-b1a8-49ba-bad4-f62c8a416d83",
"metadata": {},
"source": [
"- (In this book, we follow the common machine learning and deep learning convention where training examples are represented as rows and feature values as columns; in the caase of the tensor shown above, each row represents a word, and each column represents an embedding dimension)\n",
"\n",
"- The primary objective of this section is to demonstrate how the context vector $z^{(2)}$\n",
" is calculated using the second input sequence, $x^{(2)}$, as a query\n",
"\n",
"- The figure depicts the initial step in this process, which involves calculating the attention scores ω between $x^{(2)}$\n",
" and all other input elements through a dot product operation."
" and all other input elements through a dot product operation"
]
},
{
@ -517,7 +522,10 @@
"id": "11c0fb55-394f-42f4-ba07-d01ae5c98ab4",
"metadata": {},
"source": [
"<img src=\"https://sebastianraschka.com/images/LLMs-from-scratch-images/ch03_compressed/11.webp\" width=\"400px\">"
"<img src=\"https://sebastianraschka.com/images/LLMs-from-scratch-images/ch03_compressed/11.webp\" width=\"400px\">\n",
"\n",
"- (Please note that the numbers in this figure are truncated to two\n",
"digits after the decimal point to reduce visual clutter; the values in each row should add up to 1.0 or 100%; similarly, digits in other figures are truncated)"
]
},
{
@ -2019,7 +2027,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
"version": "3.10.6"
}
},
"nbformat": 4,