deploy: 736b241

p208p2002 · Dec 13, 2023 · d7f728d · d7f728d
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diff --git a/_version.txt b/_version.txt
@@ -1,3 +1,3 @@
-Git Hash: 58b8fcad17058ed5f6515e61089b279559e5e317
-Build Time: 2023/12/13 03:12:16
+Git Hash: 736b241540349c329ca8f07ed38cf4af63d6ec1f
+Build Time: 2023/12/13 03:19:04
 Build Platform: Linux-6.2.0-1018-azure-x86_64-with-glibc2.35
diff --git a/docs/1-bit_Adam/document.md b/docs/1-bit_Adam/document.md
@@ -1,4 +1,4 @@
-# 1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed
+# 論文筆記 1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed
 
 <document-info>
 - tags: #論文筆記#1-bit#Adam

diff --git a/docs/IA3/document.md b/docs/IA3/document.md
@@ -1,4 +1,4 @@
-# Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
+# 論文筆記 Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
 
 <document-info>
 - tags: #論文筆記#PEFT#IA3

diff --git a/docs/bpe-tokenization/document.md b/docs/bpe-tokenization/document.md
@@ -1,4 +1,4 @@
-# Neural Machine Translation of Rare Words with Subword Units
+# 論文筆記 Neural Machine Translation of Rare Words with Subword Units
 
 <document-info>
 - tags: #論文筆記#gpt2#bpe#tokenizer#tokenization

diff --git a/docs/fill-in-middle/document.md b/docs/fill-in-middle/document.md
@@ -1,4 +1,4 @@
-# Efficient Training of Language Models to Fill in the Middle
+# 論文筆記 Efficient Training of Language Models to Fill in the Middle
 
 <document-info>
 - tags: #論文筆記#FIM#LM#預訓練

diff --git a/index.json b/index.json
@@ -1,6 +1,6 @@
 [
     {
-        "title": "Efficient Training of Language Models to Fill in the Middle",
+        "title": "論文筆記 Efficient Training of Language Models to Fill in the Middle",
         "tags": [
             "論文筆記",
             "FIM",
@@ -26,7 +26,7 @@
         "_sort_key": 20231213
     },
     {
-        "title": "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning",
+        "title": "論文筆記 Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning",
         "tags": [
             "論文筆記",
             "PEFT",
@@ -77,7 +77,7 @@
         "_sort_key": 20230912
     },
     {
-        "title": "Neural Machine Translation of Rare Words with Subword Units",
+        "title": "論文筆記 Neural Machine Translation of Rare Words with Subword Units",
         "tags": [
             "論文筆記",
             "gpt2",
@@ -104,7 +104,7 @@
         "_sort_key": 20230906
     },
     {
-        "title": "1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed",
+        "title": "論文筆記 1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed",
         "tags": [
             "論文筆記",
             "1-bit",