diff --git a/.obsidian/workspace.json b/.obsidian/workspace.json
index 8b2f6fe..20fcd2a 100644
--- a/.obsidian/workspace.json
+++ b/.obsidian/workspace.json
@@ -13,7 +13,7 @@
             "state": {
               "type": "markdown",
               "state": {
-                "file": "Record/DL/CoT Prompt.md",
+                "file": "Record/DL/LLM.md",
                 "mode": "source",
                 "source": false
               }
@@ -93,7 +93,7 @@
             "state": {
               "type": "backlink",
               "state": {
-                "file": "Record/DL/CoT Prompt.md",
+                "file": "Record/DL/LLM.md",
                 "collapseAll": false,
                 "extraContext": false,
                 "sortOrder": "alphabetical",
@@ -110,7 +110,7 @@
             "state": {
               "type": "outgoing-link",
               "state": {
-                "file": "Record/DL/CoT Prompt.md",
+                "file": "Record/DL/LLM.md",
                 "linksCollapsed": false,
                 "unlinkedCollapsed": true
               }
@@ -133,7 +133,7 @@
             "state": {
               "type": "outline",
               "state": {
-                "file": "Record/DL/CoT Prompt.md"
+                "file": "Record/DL/LLM.md"
               }
             }
           },
@@ -175,8 +175,9 @@
   },
   "active": "e144afbc26630891",
   "lastOpenFiles": [
-    "Record/DL/Loss.md",
     "Record/DL/CoT Prompt.md",
+    "Record/DL/LLM.md",
+    "Record/DL/Loss.md",
     "Paper/Diffusion/Imagic.md",
     "Paper/Diffusion/MoMA.md",
     "Paper/Diffusion/Tutorial on Diffusion Models for Imaging and Vision.md",
@@ -211,7 +212,6 @@
     "Study/DL/吴恩达深度学习课程/Other.md",
     "Books/Java Guide/基础语法.md",
     "Books/Java并发编程/Java并发编程.md",
-    "Books/从零开始深入学习Spring/IoC.md",
-    "Books/Vim实用技巧/一、入门导读.md"
+    "Books/从零开始深入学习Spring/IoC.md"
   ]
 }
\ No newline at end of file
diff --git a/Record/DL/LLM.md b/Record/DL/LLM.md
new file mode 100644
index 0000000..ed8bdad
--- /dev/null
+++ b/Record/DL/LLM.md
@@ -0,0 +1,5 @@
+## 常见超参
+- temperature
+	用于控制 LLM 输出的随机度。高热度更有创造性/难以预测，低热度则更为保守。
+- Top-K
+	即核心采样(nucleus smapling)，也是用处控制输出随机性的超参数。它设定了一个概率阈值，LLM 会选取累计概率超过该阈值的最佳词汇，然后 LLM 从这组词汇中随机抽取以生成输出。
\ No newline at end of file