feat(genapi): Update faq about maximum output tokens (#5071)

* feat(genapi): Update faq about maximum output tokens

* Update pages/generative-apis/faq.mdx

Co-authored-by: Rowena Jones <36301604+RoRoJ@users.noreply.github.com>

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Co-authored-by: Benedikt Rollik <brollik@scaleway.com>
Co-authored-by: Rowena Jones <36301604+RoRoJ@users.noreply.github.com>

Author: 3 people

pages/generative-apis/faq.mdx

@@ -120,6 +120,13 @@ Yes, API rate limits define the maximum number of requests a user can make withi
 
 Refer to our dedicated [documentation](/generative-apis/reference-content/rate-limits/) for more information on rate limits.
 
+## Can I increase maximum output (completion) tokens for a model?
+No, you cannot increase maximum output tokens above [limits for each models](https://www.scaleway.com/en/docs/generative-apis/reference-content/supported-models/) in Generative APIs.
+These limits are in place to protect you against:
+- Long generation which may be ended by an HTTP timeout. Limits are designed to ensure a model will send its HTTP response in less than 5 minutes.
+- Uncontrolled billing, as several models are known to be able to enter infinite generation loops (specific prompts can make the model generate the same sentence over and over, without stopping at all).
+If you require higher maximum output tokens, you can use [Managed Inference](https://console.scaleway.com/inference/deployments) where these limts do not apply (as your bill will be limited by the size of your deployment).
+
 ## What is the model lifecycle for Generative APIs?
 Scaleway is dedicated to updating and offering the latest versions of generative AI models, while ensuring older models remain accessible for a significant time, and also ensuring the reliability of your production applications. Learn more in our [model lifecycle policy](/generative-apis/reference-content/model-lifecycle/).