Added 2 sections; added logo

docs/section2/Building an AI server/Install Ollama on linux.md

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+## How to install Ollama on a linux machine?
+
+To install **Ollama** on a Linux machine, follow these steps:
+
+**1. Check Prerequisites**
+
+- Ensure your system meets the minimum requirements: **64-bit CPU**, at least **8GB RAM** (16GB recommended), and **10–12GB free disk space**. A **GPU** (NVIDIA or AMD) is strongly recommended for optimal performance, but Ollama can run on CPU if necessary.
+- Make sure you have **curl** installed. If not, install it using:
+
+```bash
+sudo apt-get install curl
+```
+
+- For GPU support, verify your drivers (e.g., with `nvidia-smi` for NVIDIA GPUs).
+
+**2. Install Ollama**
+
+- The simplest way is to run the official installation script:
+
+```bash
+curl -fsSL https://ollama.com/install.sh | sh
+```
+
+This script will:
+    - Download and install Ollama to `/usr/local/bin`
+    - Create the `ollama` user and necessary groups
+    - Set up and start the Ollama systemd service
+
+**3. Verify Installation**
+
+- Check that Ollama is installed and running:
+
+```bash
+ollama --version
+systemctl status ollama
+```
+
+By default, Ollama runs as a service and listens on `localhost:11434`.
+
+**4. (Optional) Manual or Docker Installation**
+
+- For manual installation or advanced setups, you can download the binary or use Docker:
+    - Manual:
+
+```bash
+curl -fsSL https://ollama.com/download/ollama-linux-amd64.tgz | sudo tar zx -C /usr
+```
+
+Then set up the systemd service as described in the documentation.
+    - Docker:
+
+```bash
+docker pull ollama/ollama
+docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+```
+
+This is useful for containerized environments.
+
+**5. Pull and Run a Model**
+
+- After installation, fetch a language model (e.g., Llama 2):
+
+```bash
+ollama pull llama2
+```
+
+- Run the model:
+
+```bash
+ollama run llama2
+```
+
+
+**6. Troubleshooting**
+
+- If GPU support is not detected, ensure your drivers and toolkits (e.g., `nvidia-cuda-toolkit`) are installed and repeat the installation.
+
+**Summary Table:**
+
+
+| Step | Command/Action |
+| :-- | :-- |
+| Update system | `sudo apt-get update && sudo apt-get upgrade` |
+| Install curl | `sudo apt-get install curl` |
+| Install Ollama | `curl -fsSL https://ollama.com/install.sh | sh` |
+| Verify installation | `ollama --version` and `systemctl status ollama` |
+| Pull a model | `ollama pull llama2` |
+| Run a model | `ollama run llama2` |
+
+After these steps, Ollama should be ready to use on your Linux system.

docs/section2/_category_.json

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+{
+  "label": "Section 2: Building and Using AI Systems",
+  "position": 3,
+  "link": {
+    "type": "generated-index"
+  }
+}

docs/section2/manage-docs-versions.md

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+---
+sidebar_position: 1
+---
+
+# Manage Docs Versions
+
+Docusaurus can manage multiple versions of your docs.
+
+## Create a docs version
+
+Release a version 1.0 of your project:
+
+```bash
+npm run docusaurus docs:version 1.0
+```
+
+The `docs` folder is copied into `versioned_docs/version-1.0` and `versions.json` is created.
+
+Your docs now have 2 versions:
+
+- `1.0` at `http://localhost:3000/docs/` for the version 1.0 docs
+- `current` at `http://localhost:3000/docs/next/` for the **upcoming, unreleased docs**
+
+## Add a Version Dropdown
+
+To navigate seamlessly across versions, add a version dropdown.
+
+Modify the `docusaurus.config.js` file:
+
+```js title="docusaurus.config.js"
+export default {
+  themeConfig: {
+    navbar: {
+      items: [
+        // highlight-start
+        {
+          type: 'docsVersionDropdown',
+        },
+        // highlight-end
+      ],
+    },
+  },
+};
+```
+
+The docs version dropdown appears in your navbar:
+
+![Docs Version Dropdown](./img/docsVersionDropdown.png)
+
+## Update an existing version
+
+It is possible to edit versioned docs in their respective folder:
+
+- `versioned_docs/version-1.0/hello.md` updates `http://localhost:3000/docs/hello`
+- `docs/hello.md` updates `http://localhost:3000/docs/next/hello`

docs/section2/translate-your-site.md

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+---
+sidebar_position: 2
+---
+
+# Translate your site
+
+Let's translate `docs/intro.md` to French.
+
+## Configure i18n
+
+Modify `docusaurus.config.js` to add support for the `fr` locale:
+
+```js title="docusaurus.config.js"
+export default {
+  i18n: {
+    defaultLocale: 'en',
+    locales: ['en', 'fr'],
+  },
+};
+```
+
+## Translate a doc
+
+Copy the `docs/intro.md` file to the `i18n/fr` folder:
+
+```bash
+mkdir -p i18n/fr/docusaurus-plugin-content-docs/current/
+
+cp docs/intro.md i18n/fr/docusaurus-plugin-content-docs/current/intro.md
+```
+
+Translate `i18n/fr/docusaurus-plugin-content-docs/current/intro.md` in French.
+
+## Start your localized site
+
+Start your site on the French locale:
+
+```bash
+npm run start -- --locale fr
+```
+
+Your localized site is accessible at [http://localhost:3000/fr/](http://localhost:3000/fr/) and the `Getting Started` page is translated.
+
+:::caution
+
+In development, you can only use one locale at a time.
+
+:::
+
+## Add a Locale Dropdown
+
+To navigate seamlessly across languages, add a locale dropdown.
+
+Modify the `docusaurus.config.js` file:
+
+```js title="docusaurus.config.js"
+export default {
+  themeConfig: {
+    navbar: {
+      items: [
+        // highlight-start
+        {
+          type: 'localeDropdown',
+        },
+        // highlight-end
+      ],
+    },
+  },
+};
+```
+
+The locale dropdown now appears in your navbar:
+
+![Locale Dropdown](./img/localeDropdown.png)
+
+## Build your localized site
+
+Build your site for a specific locale:
+
+```bash
+npm run build -- --locale fr
+```
+
+Or build your site to include all the locales at once:
+
+```bash
+npm run build
+```