diff --git a/.vitepress/en.ts b/.vitepress/en.ts
index 33088a7f..d45c9ea9 100644
--- a/.vitepress/en.ts
+++ b/.vitepress/en.ts
@@ -378,7 +378,7 @@ function sidebarExamples(): DefaultTheme.SidebarItem[] {
       // collapsed: false,
       items: [
         { text: "Cats and Dogs Classification", link: "cats_dogs_classification" },
-        { text: "Yolo Object Detection", link: "yolo" },
+        { text: "YOLO Object Detection", link: "yolo" },
         { text: "UNet Medical Image Segmentation", link: "unet-medical-segmentation" },
         { text: "QwenVL Finetune", link: "qwen_vl_coco" },
         { text: "Stable Diffusion Finetune", link: "stable_diffusion" },
@@ -390,9 +390,9 @@ function sidebarExamples(): DefaultTheme.SidebarItem[] {
       items: [
         { text: "BERT Text Classification", link: "bert" },
         { text: "LLM Pretraining", link: "pretrain_llm" },
-        { text: "GLM4 Instruct Finetune", link: "glm4-instruct" },
+        { text: "GLM4 Instruct FineTune", link: "glm4-instruct" },
+        { text: "Qwen SFT", link: "qwen_finetune" },
         { text: "Qwen2 NER", link: "ner" },
-        { text: "Qwen Finetune Case", link: "qwen_finetune" },
         { text: "Qwen3 Medical", link: "qwen3-medical" },
       ],
     },
diff --git a/.vitepress/theme/components/BadgeRow.vue b/.vitepress/theme/components/BadgeRow.vue
index e763457a..841d9ff1 100644
--- a/.vitepress/theme/components/BadgeRow.vue
+++ b/.vitepress/theme/components/BadgeRow.vue
@@ -36,7 +36,13 @@ const sortedBadges = computed(() =>
 
 <template>
   <div class="badge-row">
-    <a v-for="badge in sortedBadges" :key="badge.href" :href="badge.href">
+    <a
+      v-for="badge in sortedBadges"
+      :key="badge.href"
+      :href="badge.href"
+      target="_blank"
+      rel="noopener noreferrer"
+    >
       <img :src="badge.img" :alt="badge.alt" />
     </a>
   </div>
diff --git a/.vitepress/theme/components/HomePromoSection.vue b/.vitepress/theme/components/HomePromoSection.vue
new file mode 100644
index 00000000..720d7010
--- /dev/null
+++ b/.vitepress/theme/components/HomePromoSection.vue
@@ -0,0 +1,257 @@
+<script setup lang="ts">
+/* ============================================================
+ * 首页合作推广区 — CANN & SwanLab 大模型训练师成长计划
+ *
+ * 可选组件，无感下线：
+ *   1. 临时下线 → 把下方 PROMO.enabled 置为 false（DOM 零残留）；
+ *   2. 彻底移除 → 删除 zh/index.md 中的 <HomePromoSection /> 一行、
+ *      本文件、以及 theme/index.ts 中的一行注册，三处互不牵连。
+ *
+ * 设计资源（/public/vendor/）：
+ *   CANNlogo.svg / swanlab-logo.svg —— 白底圆形徽标（logo 置于白色
+ *   圆形底上，暗色模式无需反色）；background-line.png —— 上半区
+ *   的波浪装饰背景（透明底 PNG，用 background-image 引用，天然绕过
+ *   medium-zoom 的图片缩放接管）。
+ * 文案目前仅中文；若英文首页需要，在 en/index.md 插入标签并在此补
+ * 英文文案即可。
+ * ============================================================ */
+const PROMO = {
+  // 总开关：false 则整区不渲染。
+  enabled: false,
+  badge: "🤝 合作计划·PARTNERSHIP PROGRAM",
+  titleLine1: "CANN & SwanLab",
+  titleLine2: "大模型训练师成长计划",
+  subtitle: "AI Trainer Growth Program",
+  joinText: "我要加入",
+  casesText: "查看案例",
+  descTitle: "昇腾算力支持，助力 AI 模型训练实践",
+  descBody:
+    "本计划由华为 CANN 与 SwanLab 联合发起，面向有志于进入 AI 大模型训练领域的开发者、高校学生及团队，助力更多实践者成为 AI 时代的创新者。注册 SwanLab 并开通华为云账号，即可获得 100 卡时的 Ascend NPU 算力支持。通过使用算力、积累积分，可逐步解锁更多算力配额，持续学习与实践，不断提升 AI 模型训练能力。在这里，你可以体验昇腾训练框架，查阅完整的 CANN 技术文档，使用实战案例库，并获得专属技术支持，逐步掌握从入门到实践的 AI 模型训练全流程。无论你是计划入门大模型训练的开发者，还是希望验证国产 NPU 性能的算法工程师，都能在这里找到适合自己的成长路径与持续的算力支撑。",
+};
+</script>
+
+<template>
+  <section v-if="PROMO.enabled" class="home-promo">
+    <div class="home-promo__divider"></div>
+    <p class="home-promo__badge">{{ PROMO.badge }}</p>
+    <div class="home-promo__card">
+      <div class="home-promo__main">
+        <div class="home-promo__logos">
+          <span class="home-promo__logo-circle">
+            <img class="no-zoomable" src="/vendor/CANNlogo.svg" alt="CANN" data-no-zoom />
+          </span>
+          <span class="home-promo__logo-x">×</span>
+          <span class="home-promo__logo-circle">
+            <img class="no-zoomable" src="/vendor/swanlab-logo.svg" alt="SwanLab" data-no-zoom />
+          </span>
+        </div>
+        <div class="home-promo__info">
+          <h2 class="home-promo__title">
+            <span class="home-promo__title-line">{{ PROMO.titleLine1 }}</span>
+            <span class="home-promo__title-line">{{ PROMO.titleLine2 }}</span>
+          </h2>
+          <p class="home-promo__subtitle">{{ PROMO.subtitle }}</p>
+          <div class="home-promo__actions">
+            <!-- 【URL】：在此控制 button 跳转 -->
+            <a
+              class="home-promo__btn home-promo__btn--join"
+              href="https://atomgit.com/cann/cann-learning-hub"
+              target="_blank"
+              rel="noopener noreferrer"
+              >{{ PROMO.joinText }}</a
+            >
+            <a class="home-promo__btn home-promo__btn--cases" href="/examples/mnist">{{
+              PROMO.casesText
+            }}</a>
+          </div>
+        </div>
+      </div>
+      <div class="home-promo__desc">
+        <h3 class="home-promo__desc-title">{{ PROMO.descTitle }}</h3>
+        <p class="home-promo__desc-body">{{ PROMO.descBody }}</p>
+      </div>
+    </div>
+  </section>
+</template>
+
+<style scoped>
+/* 设计参数（来自设计稿，1128×500 仅作比例参考，实际宽度随文档容器自适应）：
+ * 灰色背景 #C3C3C340 仅包裹底部描述区（参考高度 186px）/
+ * 红色按钮 #C7000B / 副标题 #B9B9B9 / 顶部 badge #B6121B */
+.home-promo {
+  margin: 0;
+}
+
+.home-promo__divider {
+  margin: 32px 0;
+  border-top: 1px solid var(--vp-c-divider);
+}
+
+.home-promo__badge {
+  margin: 0 0 32px;
+  padding: 0;
+  text-align: center;
+  font-size: 14px;
+  font-weight: 600;
+  letter-spacing: 0.5px;
+  color: #b6121b;
+}
+
+.home-promo__card {
+  border-radius: 24px;
+  overflow: hidden;
+  background: var(--vp-c-bg);
+  box-shadow: 0 8px 40px rgba(0, 0, 0, 0.08);
+  transition: box-shadow 0.3s ease;
+}
+
+.home-promo__card:hover {
+  box-shadow: 0 16px 56px rgba(0, 0, 0, 0.14);
+}
+
+/* 上半区：白色底 + 波浪背景，左右各半、各自居中 */
+.home-promo__main {
+  display: flex;
+  align-items: stretch;
+  padding: 72px 48px 64px;
+  background-image: url("https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/images/background-line.png");
+  background-repeat: no-repeat;
+  background-position: center bottom;
+  background-size: 100% auto;
+}
+
+.home-promo__logos {
+  flex: 1;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  gap: 20px;
+}
+
+.home-promo__logo-circle {
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  width: 136px;
+  height: 136px;
+  border-radius: 50%;
+  background: rgba(255, 255, 255, 0.65);
+  box-shadow: 0 4px 16px rgba(0, 0, 0, 0.08);
+}
+
+.home-promo__logo-circle img {
+  width: 80px;
+  height: auto;
+  margin: 0;
+}
+
+.home-promo__logo-x {
+  font-size: 28px;
+  color: #999999;
+  line-height: 1;
+}
+
+.home-promo__info {
+  flex: 1;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  text-align: center;
+}
+
+.home-promo__title {
+  margin: 0;
+  padding: 0;
+  border: none;
+  font-size: 34px;
+  font-weight: 700;
+  line-height: 1.3;
+  letter-spacing: normal;
+  color: var(--vp-c-text-1);
+}
+
+.home-promo__title-line {
+  display: block;
+}
+
+.home-promo__subtitle {
+  margin: 12px 0 24px;
+  padding: 0;
+  font-size: 16px;
+  font-weight: 600;
+  color: #b9b9b9;
+}
+
+.home-promo__actions {
+  display: flex;
+  gap: 16px;
+  flex-wrap: wrap;
+  justify-content: center;
+}
+
+.home-promo__btn {
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+  padding: 12px 36px;
+  border-radius: 999px;
+  font-size: 15px;
+  font-weight: 600;
+  color: #ffffff !important;
+  text-decoration: none !important;
+  transition: opacity 0.2s;
+}
+
+.home-promo__btn:hover {
+  opacity: 0.88;
+}
+
+.home-promo__btn--join {
+  background: #c7000b;
+}
+
+.home-promo__btn--cases {
+  background: #121826;
+}
+
+/* 下半区：灰色背景仅包裹描述段落 */
+.home-promo__desc {
+  background: #c3c3c340;
+  padding: 28px 48px 32px;
+}
+
+.home-promo__desc-title {
+  margin: 0 0 16px;
+  padding: 0;
+  border: none;
+  font-size: 18px;
+  font-weight: 700;
+  line-height: 1.5;
+  color: var(--vp-c-text-1);
+}
+
+.home-promo__desc-body {
+  margin: 0;
+  padding: 0;
+  font-size: 14px;
+  line-height: 1.9;
+  color: var(--vp-c-text-2);
+}
+
+@media (max-width: 768px) {
+  .home-promo__main {
+    flex-direction: column;
+    gap: 32px;
+    padding: 40px 24px 32px;
+  }
+
+  .home-promo__title {
+    font-size: 26px;
+  }
+
+  .home-promo__desc {
+    padding: 24px 24px 28px;
+  }
+}
+</style>
diff --git a/.vitepress/theme/index.ts b/.vitepress/theme/index.ts
index 1b04c0a7..49983a6b 100644
--- a/.vitepress/theme/index.ts
+++ b/.vitepress/theme/index.ts
@@ -20,6 +20,8 @@ import CopyOrDownloadAsMarkdownButtons from "./components/CopyOrDownloadAsMarkdo
 import VersionBadge from "./components/VersionBadge.vue";
 import BadgeRow from "./components/BadgeRow.vue";
 import MermaidDiagram from "./components/MermaidDiagram.vue";
+// 首页合作推广区（可选组件，组件内 enabled=false 即可整区下线）
+import HomePromoSection from "./components/HomePromoSection.vue";
 import { useVersionSync } from "./version-sync";
 import { useLogoLinkFix } from "./logo-link";
 
@@ -50,6 +52,7 @@ export default {
     ctx.app.component("VersionBadge", VersionBadge);
     ctx.app.component("BadgeRow", BadgeRow);
     ctx.app.component("MermaidDiagram", MermaidDiagram);
+    ctx.app.component("HomePromoSection", HomePromoSection);
     VoidZeroTheme.enhanceApp(ctx);
   },
   setup() {
diff --git a/.vitepress/zh.ts b/.vitepress/zh.ts
index e854810e..6b77047a 100644
--- a/.vitepress/zh.ts
+++ b/.vitepress/zh.ts
@@ -419,8 +419,8 @@ function sidebarExamples(): DefaultTheme.SidebarItem[] {
       text: "计算机视觉",
       // collapsed: false,
       items: [
-        { text: "Resnet猫狗分类", link: "cats_dogs_classification" },
-        { text: "Yolo目标检测", link: "yolo" },
+        { text: "ResNet猫狗分类", link: "cats_dogs_classification" },
+        { text: "YOLO目标检测", link: "yolo" },
         { text: "UNet医学影像分割", link: "unet-medical-segmentation" },
         { text: "QwenVL多模态大模型微调", link: "qwen_vl_coco" },
         { text: "Qwen3-smVL模型拼接微调", link: "qwen3_smolvlm_muxi" },
@@ -434,9 +434,9 @@ function sidebarExamples(): DefaultTheme.SidebarItem[] {
         { text: "BERT文本分类", link: "bert" },
         { text: "LLM预训练", link: "pretrain_llm" },
         { text: "Qwen3.5角色扮演", link: "qwen3.5-huanhuan" },
-        { text: "GLM4指令微调", link: "glm4-instruct" },
-        { text: "Qwen下游任务训练", link: "qwen_finetune" },
-        { text: "NER命名实体识别", link: "ner" },
+        { text: "GLM4 指令微调", link: "glm4-instruct" },
+        { text: "Qwen 监督微调", link: "qwen_finetune" },
+        { text: "Qwen2 命名实体识别", link: "ner" },
         { text: "Qwen3医学模型微调", link: "qwen3-medical" },
         { text: "通过微调给Qwen3起新名字", link: "mlx_lm_finetune" },
         { text: "扩散语言模型", link: "diffusion_language_model" },
diff --git a/en/examples/mnist.md b/en/examples/mnist.md
index 6f8851bb..c20f09b3 100644
--- a/en/examples/mnist.md
+++ b/en/examples/mnist.md
@@ -6,7 +6,7 @@ Image Classification, Machine Learning Introduction, Grayscale Images
 
 <BadgeRow :badges="[
   { alt: 'Visualize in SwanLab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/assets/badge1.svg', href: 'https://swanlab.cn/@ZeyiLin/MNIST-example/runs/4plp6w0qehoqpt0uq2tcy/chart' },
-  { alt: 'Open in Colab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/assets/colab.svg', href: 'https://colab.research.google.com/drive/1Au8aXxU2o0QNWSzGXGsTdHggighXQMNu?usp=sharing' },
+  { alt: 'Open in Colab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/assets/colab.svg', href: 'https://colab.research.google.com/drive/1Au8aXxU2o0QNWSzGXGsTdHggighXQMNu?usp=sharing' }
 ]" />
 
 ## Overview
diff --git a/public/vendor/CANNLab-light.svg b/public/vendor/CANNLab-light.svg
new file mode 100644
index 00000000..85fe5e9e
--- /dev/null
+++ b/public/vendor/CANNLab-light.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1787826139595" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="6532" xmlns:xlink="http://www.w3.org/1999/xlink" width="200" height="200"><path d="M829.344 483.04h104.168c21.248 0 34.536-23.008 23.904-41.416L791.08 153.52a110.432 110.432 0 0 0-95.64-55.216H364.76c-21.248 0-34.536 23.008-23.904 41.416l52.08 90.208a55.216 55.216 0 0 0 47.816 27.608h210.576c9.864 0 18.976 5.264 23.912 13.808L781.52 455.432a55.216 55.216 0 0 0 47.824 27.6z" fill="#C7000B" p-id="6533"></path><path d="M791.08 870.472l166.344-288.112c10.624-18.4-2.656-41.416-23.92-41.416h-104.16a55.232 55.232 0 0 0-47.824 27.608L683.2 738.856a55.208 55.208 0 0 1-47.808 27.6h-230.08a55.208 55.208 0 0 1-47.808-27.6L242.464 539.6a55.16 55.16 0 0 1 0-55.216l99.32-172.024a55.24 55.24 0 0 0 0-55.208l-52.08-90.216c-10.624-18.4-37.192-18.4-47.816 0l-167.36 289.84a110.472 110.472 0 0 0 0 110.432l175.096 303.264a110.448 110.448 0 0 0 95.64 55.216H695.44c39.456 0 75.904-21.048 95.64-55.216zM531.096 469.256L454.24 336.152c-5.312-9.2 1.328-20.704 11.96-20.704h151.68c9.88 0 18.992 5.256 23.92 13.8l76.848 133.104c5.312 9.2-1.328 20.704-11.952 20.704h-151.68a27.624 27.624 0 0 1-23.928-13.8z m-50.144 56.56L403.12 660.64c-5.312 9.2-18.592 9.2-23.912 0l-77.84-134.824a27.584 27.584 0 0 1 0-27.608l77.84-134.832c5.32-9.2 18.6-9.2 23.912 0l77.84 134.832a27.584 27.584 0 0 1 0 27.6z" fill="#231716" p-id="6534"></path></svg>
\ No newline at end of file
diff --git a/public/vendor/CANNlogo.svg b/public/vendor/CANNlogo.svg
new file mode 100644
index 00000000..a81e4e5a
--- /dev/null
+++ b/public/vendor/CANNlogo.svg
@@ -0,0 +1,44 @@
+<svg viewBox="0 0 179.657 48" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="179.657166" height="48.000000" fill="none" customFrame="#000000">
+	<mask id="mask_1" width="52.683510" height="48.132210" x="33.110596" y="0.000000" maskUnits="userSpaceOnUse">
+		<g filter="url(#pixso_custom_mask_type_alpha)">
+			<rect id="CANN-logo-规范" width="52.683510" height="48.132210" x="33.110596" y="0.000000" fill="url(#pattern_1)" />
+		</g>
+	</mask>
+	<defs>
+		<filter id="pixso_custom_mask_type_outline">
+			<feColorMatrix type="matrix" values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 " />
+		</filter>
+		<image id="image_0" width="978.000000" height="261.000000" 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+	</g>
+</svg>
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new file mode 100644
index 00000000..38b1bf98
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@@ -0,0 +1 @@
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diff --git a/public/vendor/github.svg b/public/vendor/github.svg
new file mode 100644
index 00000000..2b8739f2
--- /dev/null
+++ b/public/vendor/github.svg
@@ -0,0 +1 @@
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diff --git a/public/vendor/open-in-cannlab.svg b/public/vendor/open-in-cannlab.svg
new file mode 100644
index 00000000..c0afe4d5
--- /dev/null
+++ b/public/vendor/open-in-cannlab.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="127" height="20" role="img" aria-label="Open in CANNLab"><title>Open in CANNLab</title><clipPath id="r"><rect width="127" height="20" rx="3"/></clipPath><g clip-path="url(#r)"><rect width="127" height="20" fill="#fb7130"/></g><rect x="2" y="2" width="16" height="16" rx="2" fill="#ffffff"/><svg x="4" y="4" width="12" height="12" viewBox="0 0 1024 1024"><path d="M829.344 483.04h104.168c21.248 0 34.536-23.008 23.904-41.416L791.08 153.52a110.432 110.432 0 0 0-95.64-55.216H364.76c-21.248 0-34.536 23.008-23.904 41.416l52.08 90.208a55.216 55.216 0 0 0 47.816 27.608h210.576c9.864 0 18.976 5.264 23.912 13.808L781.52 455.432a55.216 55.216 0 0 0 47.824 27.6z" fill="#C7000B"/><path d="M791.08 870.472l166.344-288.112c10.624-18.4-2.656-41.416-23.92-41.416h-104.16a55.232 55.232 0 0 0-47.824 27.608L683.2 738.856a55.208 55.208 0 0 1-47.808 27.6h-230.08a55.208 55.208 0 0 1-47.808-27.6L242.464 539.6a55.16 55.16 0 0 1 0-55.216l99.32-172.024a55.24 55.24 0 0 0 0-55.208l-52.08-90.216c-10.624-18.4-37.192-18.4-47.816 0l-167.36 289.84a110.472 110.472 0 0 0 0 110.432l175.096 303.264a110.448 110.448 0 0 0 95.64 55.216H695.44c39.456 0 75.904-21.048 95.64-55.216zM531.096 469.256L454.24 336.152c-5.312-9.2 1.328-20.704 11.96-20.704h151.68c9.88 0 18.992 5.256 23.92 13.8l76.848 133.104c5.312 9.2-1.328 20.704-11.952 20.704h-151.68a27.624 27.624 0 0 1-23.928-13.8z m-50.144 56.56L403.12 660.64c-5.312 9.2-18.592 9.2-23.912 0l-77.84-134.824a27.584 27.584 0 0 1 0-27.608l77.84-134.832c5.32-9.2 18.6-9.2 23.912 0l77.84 134.832a27.584 27.584 0 0 1 0 27.6z" fill="#231716"/></svg><g fill="#fff" text-anchor="middle" font-family="Verdana,Geneva,DejaVu Sans,sans-serif" font-size="11" font-weight="500"><text x="72.5" y="14.5">Open in CANNLab</text></g></svg>
diff --git a/public/vendor/swanlab-logo.svg b/public/vendor/swanlab-logo.svg
new file mode 100644
index 00000000..d0c33c77
--- /dev/null
+++ b/public/vendor/swanlab-logo.svg
@@ -0,0 +1 @@
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diff --git a/tsconfig.json b/tsconfig.json
index 29203eaa..d881bfe5 100644
--- a/tsconfig.json
+++ b/tsconfig.json
@@ -3,6 +3,8 @@
     "target": "ESNext",
     "module": "ESNext",
     "moduleResolution": "bundler",
+    "allowImportingTsExtensions": true,
+    "noEmit": true,
     "esModuleInterop": true,
     "skipLibCheck": true,
     "types": ["node", "vitepress/client"]
diff --git a/zh/course/llm_train_course/03-sft/4.qwen3-medical-finetune/index.md b/zh/course/llm_train_course/03-sft/4.qwen3-medical-finetune/index.md
index 7c6d229d..2f3e7bd1 100644
--- a/zh/course/llm_train_course/03-sft/4.qwen3-medical-finetune/index.md
+++ b/zh/course/llm_train_course/03-sft/4.qwen3-medical-finetune/index.md
@@ -1,6 +1,11 @@
 # Qwen3大模型微调实战：医学推理对话
 
-[![](https://raw.githubusercontent.com/SwanHubX/assets/main/badge1.svg)](https://swanlab.cn/@ZeyiLin/qwen3-sft-medical/runs/agps0dkifth5l1xytcdyk/chart)
+<!-- TODO: qwen3-medical 跳转 -->
+
+<BadgeRow :badges="[
+  { alt: 'Visualize in SwanLab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/assets/badge1.svg', href: 'https://swanlab.cn/@ZeyiLin/qwen3-sft-medical/runs/agps0dkifth5l1xytcdyk/chart' },
+//   { alt: 'Open in CANNLab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/images/open-in-cannlab.svg', href: 'https://atomgit.com/cann/cann-learning-hub/blob/master/contrib/tutorials/swanlab_examples/qwen3_medical_sft/README.md' },
+]" />
 
 ![09-01](https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/zh/course/llm_train_course/03-sft/4.qwen3-medical-finetune/qwen3/01.png)
 
diff --git a/zh/examples/mnist.md b/zh/examples/mnist.md
index 948fabb8..3efeb76a 100644
--- a/zh/examples/mnist.md
+++ b/zh/examples/mnist.md
@@ -4,9 +4,12 @@
 图像分类、机器学习入门、灰度图像
 :::
 
+<!-- TODO: MNIST cannlab notebook 跳转 -->
+
 <BadgeRow :badges="[
   { alt: 'Visualize in SwanLab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/assets/badge1.svg', href: 'https://swanlab.cn/@ZeyiLin/MNIST-example/runs/4plp6w0qehoqpt0uq2tcy/chart' },
   { alt: 'Open in Colab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/assets/colab.svg', href: 'https://colab.research.google.com/drive/1Au8aXxU2o0QNWSzGXGsTdHggighXQMNu?usp=sharing' },
+//   { alt: 'Open in CANNLab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/images/open-in-cannlab.svg', href: 'https://atomgit.com/cann/cann-learning-hub' },
 ]" />
 
 ## 概述
diff --git a/zh/examples/qwen3-medical.md b/zh/examples/qwen3-medical.md
index 375f48ea..49ea64ae 100644
--- a/zh/examples/qwen3-medical.md
+++ b/zh/examples/qwen3-medical.md
@@ -1,6 +1,11 @@
 # Qwen3大模型微调实战：医学推理对话
 
-[![](https://raw.githubusercontent.com/SwanHubX/assets/main/badge1.svg)](https://swanlab.cn/@ZeyiLin/qwen3-sft-medical/runs/agps0dkifth5l1xytcdyk/chart)
+<!-- TODO: qwen3-medical 跳转 -->
+
+<BadgeRow :badges="[
+  { alt: 'Visualize in SwanLab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/assets/badge1.svg', href: 'https://swanlab.cn/@ZeyiLin/qwen3-sft-medical/runs/agps0dkifth5l1xytcdyk/chart' },
+//   { alt: 'Open in CANNLab', img: 'https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/images/open-in-cannlab.svg', href: 'https://atomgit.com/cann/cann-learning-hub/blob/master/contrib/tutorials/swanlab_examples/qwen3_medical_sft/README.md' },
+]" />
 
 ![09-01](https://swanlab-docs-1301372061.cos.ap-beijing.myqcloud.com/assets/zh/examples/qwen3/01.png)
 
diff --git a/zh/examples/yolo.md b/zh/examples/yolo.md
index e03ce269..a810ef71 100644
--- a/zh/examples/yolo.md
+++ b/zh/examples/yolo.md
@@ -1,4 +1,4 @@
-# Yolo目标检测
+# YOLO 目标检测
 
 :::info
 目标检测、计算机视觉
diff --git a/zh/index.md b/zh/index.md
index 8273f20d..7d572971 100644
--- a/zh/index.md
+++ b/zh/index.md
@@ -53,6 +53,9 @@ features:
     link: /self_host/docker/deploy.md
 ---
 
+<!-- CANN & SwanLab 合作推广区（可选组件：下线将组件内 enabled 置 false，或删除本行） -->
+<HomePromoSection />
+
 <!-- 精选文章部分 -->
 <div class="featured-articles">
   <h2>✨精选内容✨</h2>