From 157873c5cc5991d17d2574e7c5e41e6e687101dc Mon Sep 17 00:00:00 2001
From: ZhuYaoHui1998 <510677932@qq.com>
Date: Tue, 24 Sep 2024 17:42:53 +0800
Subject: [PATCH 1/2] add ai developer tools

---
 src/components/jeston/index.tsx | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/src/components/jeston/index.tsx b/src/components/jeston/index.tsx
index afa7a87a035f..260eb6d2ca20 100644
--- a/src/components/jeston/index.tsx
+++ b/src/components/jeston/index.tsx
@@ -197,9 +197,13 @@ const computerPageA = () => {
       })}
        {usageRender({
        class:styles.gray,
-        title: 'Jetpack Flash and Hardware Usage',
+        title: 'AI Developer Tools',
         desc: `
-        Most of our reComputer Jetson products come with NVIDIA JetPack system pre-installed on the device. However, if you want to flash these devices again or flash other devices which do not come with JetPack system, you can follow the below links for step-by-step guidance. We have also included guidance on how to use different hardware peripherals on these NVIDIA Jetson powered devices.
+        After you have access to an NVIDIA Jetson device, you can start developing different AI applications to suite different scenarios. The very first step of an AI project is to 
+      obtain data for training. Then you need to label the data and train an AI model. After that, you can optimize this model to make sure the model runs the best on the selected
+      device. Finally, you deploy this AI model to the NVIDIA Jetson device so that you can start building applications. You can also manage these applications remotely so that,
+      you can track the device performance metrics to ensure the device is performing well in the field.
+      We have prepared wiki guides that covers the entire AI workflow as explained above using different software providers and tools. 
         `,
         list:listData1
       })}

From a5b0185938fbdd1809149399641a90d44766872b Mon Sep 17 00:00:00 2001
From: ZhuYaoHui1998 <510677932@qq.com>
Date: Tue, 24 Sep 2024 17:59:12 +0800
Subject: [PATCH 2/2] add ai developer tools

---
 src/components/jeston/index.tsx     | 6 +-----
 src/components/recomputer/index.tsx | 2 +-
 2 files changed, 2 insertions(+), 6 deletions(-)

diff --git a/src/components/jeston/index.tsx b/src/components/jeston/index.tsx
index 260eb6d2ca20..f520e78f920d 100644
--- a/src/components/jeston/index.tsx
+++ b/src/components/jeston/index.tsx
@@ -199,11 +199,7 @@ const computerPageA = () => {
        class:styles.gray,
         title: 'AI Developer Tools',
         desc: `
-        After you have access to an NVIDIA Jetson device, you can start developing different AI applications to suite different scenarios. The very first step of an AI project is to 
-      obtain data for training. Then you need to label the data and train an AI model. After that, you can optimize this model to make sure the model runs the best on the selected
-      device. Finally, you deploy this AI model to the NVIDIA Jetson device so that you can start building applications. You can also manage these applications remotely so that,
-      you can track the device performance metrics to ensure the device is performing well in the field.
-      We have prepared wiki guides that covers the entire AI workflow as explained above using different software providers and tools. 
+        After accessing an NVIDIA Jetson device, the AI development process involves several key steps: obtaining and labeling data for training, training and optimizing the AI model to ensure optimal performance on the device, and finally deploying the model to build applications. Additionally, applications can be managed remotely, allowing for tracking of device performance metrics to ensure field efficiency. Comprehensive wiki guides are available to support this AI workflow using various software tools. 
         `,
         list:listData1
       })}
diff --git a/src/components/recomputer/index.tsx b/src/components/recomputer/index.tsx
index 290e143b9d40..87477ec9d30c 100644
--- a/src/components/recomputer/index.tsx
+++ b/src/components/recomputer/index.tsx
@@ -14,7 +14,7 @@ const computerPageA = () => {
       <div style={{ color: "#8DC215", fontStyle: 'italic'}}>
       Note: Hover your mouse over the product name on the left hand side and click it to enter the relevant wiki pages. Also hover your mouse over the product series name
       on the right hand side to have a glimpse of the products included in that series. 
-      </div>
+      </div> 
       <HardwarePage></HardwarePage>
       <div id="NVIDIA_index_software" style={{ textAlign: "center", color: "#8DC215", fontSize: "3.2rem", fontWeight: "bold" }}>AI Developer Tools</div>
       After you have access to an NVIDIA Jetson device, you can start developing different AI applications to suite different scenarios. The very first step of an AI project is to