docs(infr): fix broken links

Author: bene2k1

pages/managed-inference/how-to/import-custom-model.mdx

@@ -48,4 +48,4 @@ Scaleway provides a selection of common models for deployment from the Scaleway
     - Estimated cost.
    Once checked, click **Begin import** to finalize the process.
 
-Your imported model will now appear in the model library. You can proceed to [deploy your model on Managed Inference](/ai-data/managed-inference/how-to/create-deployment/).
+Your imported model will now appear in the model library. You can proceed to [deploy your model on Managed Inference](/managed-inference/how-to/create-deployment/).

pages/managed-inference/reference-content/model-catalog.mdx

@@ -116,7 +116,7 @@ allenai/molmo-72b-0924:fp8
 ## Text models
 
 ### Llama-3.3-70b-instruct
-Released December 6, 2024, Meta’s Llama 3.3 70b is a fine-tune of the [Llama 3.1 70b](/managed-inference/reference-content/llama-3.1-70b-instruct/) model.
+Released December 6, 2024, Meta’s Llama 3.3 70b is a fine-tune of the [Llama 3.1 70b](/managed-inference/managed-inference/reference-content/model-catalog/#llama-31-70b-instruct) model.
 This model is still text-only (text in/text out). However, Llama 3.3 was designed to approach the performance of Llama 3.1 405B on some applications.
 
 #### Model name

pages/managed-inference/reference-content/supported-models.mdx

@@ -52,8 +52,8 @@ _More details to be added._
 
 | Provider | Model identifier | Documentation | License |
 |----------|------------------|----------------|---------|
-| BAAI     | `bge-multilingual-gemma2` | [View Details](/managed-inference/reference-content/model-catalog/bge-multilingual-gemma2/) | [Gemma Terms of Use](https:/ai.google.dev/gemma/terms) |
-| Sentence Transformers     | `sentence-t5-xxl`  | [View Details](/managed-inference/reference-content/model-catalog/sentence-t5-xxl/)  | [Apache 2.0 license](https:/www.apache.org/licenses/LICENSE-2.0)  |
+| BAAI     | `bge-multilingual-gemma2` | [View Details](/managed-inference/reference-content/model-catalog/#bge-multilingual-gemma2) | [Gemma Terms of Use](https:/ai.google.dev/gemma/terms) |
+| Sentence Transformers     | `sentence-t5-xxl`  | [View Details](/managed-inference/reference-content/model-catalog/#sentence-t5-xxl)  | [Apache 2.0 license](https:/www.apache.org/licenses/LICENSE-2.0)  |
 
 
 ## Custom models

tutorials/how-to-implement-rag/index.mdx

@@ -26,7 +26,7 @@ LangChain simplifies the process of enhancing language models with retrieval cap
 - A Scaleway account logged into the [console](https://console.scaleway.com)
 - [Owner](/iam/concepts/#owner) status or [IAM permissions](/iam/concepts/#permission) allowing you to perform actions in the intended Organization
 - A valid [API key](/iam/how-to/create-api-keys/)
-- An [Inference Deployment](/managed-inference/how-to/create-deployment/): set it up using [sentence-transformers/sentence-t5-xxl](/managed-inference/reference-content/sentence-t5-xxl/) on an L4 instance to efficiently process embeddings.
+- An [Inference Deployment](/managed-inference/how-to/create-deployment/): set it up using [sentence-transformers/sentence-t5-xxl](/managed-inference/reference-content/model-catalog/#sentence-t5-xxl) on an L4 instance to efficiently process embeddings.
 - An [Inference Deployment](/managed-inference/how-to/create-deployment/) with the large language model of your choice.
 - An [Object Storage Bucket](/object-storage/how-to/create-a-bucket/) to store all the data you want to inject into your LLM model.
 - A [Managed Database](/managed-databases-for-postgresql-and-mysql/how-to/create-a-database/) to securely store all your embeddings.