Add code owners

.github/CODEOWNERS

@@ -0,0 +1,20 @@
+# All hail doc master Pau
+* @Paulescu
+
+# Domain owners
+/docs/fine-tuning/ @Liquid4All/fine-tuning-team
+
+/docs/inference @Liquid4All/inference-team
+/docs/inference/*-deployment.mdx @tuliren
+
+/docs/key-concepts/ @mlabonne
+/docs/models/audio-models.mdx @haerski
+/docs/models/vision-models.mdx @ankke
+/docs/models/ @mlabonne
+
+/leap/ @dbhathena
+/leap/edge-sdk/ @iamstuffed
+/leap/leap-bundle/ @tuliren
+/leap/finetuning.mdx @Liquid4All/fine-tuning-team
+
+/.github/workflows/ @tuliren

docs.json

@@ -112,13 +112,6 @@
               "docs/fine-tuning/unsloth"
             ]
           },
-          {
-            "group": "Frameworks",
-            "icon": "boxes",
-            "pages": [
-              "docs/frameworks/outlines"
-            ]
-          },
           {
             "group": "Help",
             "icon": "book",

docs/key-concepts/text-generation-and-prompting.mdx

@@ -9,7 +9,7 @@
 
 * **`system`** (optional) - Sets assistant behavior, context, and instructions. Use for personality, task context, output format, or constraints.
 * **`user`** - Contains the question, instruction, or request from the user.
 * **`assistant`** - Provides a partial response for the model to continue from. Useful for multi-turn conversations, few-shot prompting, or prefilling structured outputs (e.g., JSON opening brace).
 
 **Example:**
 
@@ -60,7 +60,7 @@
   ```
 </Accordion>
 
-For structured generation with schema validation, see [Outlines](/docs/frameworks/outlines).
+For structured generation with schema validation, see [Outlines](https://dottxt-ai.github.io/outlines).
 
 ## Text Models
 
@@ -96,13 +96,13 @@
 
 ### Image Token Management
 
 Control image tokenization with:
 
 * **`min_image_tokens`** - Minimum tokens for image encoding
 * **`max_image_tokens`** - Maximum tokens for image encoding
 * **`do_image_splitting`** - Split large images into 512×512 patches
 
 **How it works:** Large images are split into non-overlapping patches, then a 2-layer MLP connector with pixel unshuffle reduces tokens (e.g., 256×384 → 96 tokens, 1000×3000 → 1,020 tokens). Adjust `min_image_tokens` and `max_image_tokens` to balance quality vs. speed.
 
 **Example configurations:**