Merge branch 'current' into patch-1

website/blog/2024-10-04-iceberg-is-an-implementation-detail.md

@@ -16,6 +16,8 @@ If you haven’t paid attention to the data industry news cycle, you might have
 
 But I have to be honest: **I don’t care**. But not for the reasons you think.
 
+<!-- truncate -->
+
 ## What is Iceberg?
 
 To have this conversation, we need to start with the same foundational understanding of Iceberg. Apache Iceberg is a high-performance open table format developed for modern data lakes. It was designed for large-scale datasets, and within the project, there are many ways to interact with it. When people talk about Iceberg, it often means multiple components including but not limited to:

website/blog/2024-10-05-snowflake-feature-store.md

@@ -13,6 +13,8 @@ Flying home into Detroit this past week working on this blog post on a plane and
 
 Think of the manufacturing materials needed as our data and the building of the bridge as the building of our ML models. There are thousands of engineers and construction workers taking materials from all over the world, pulling only the specific pieces needed for each part of the project. However, to make this project truly work at this scale, we need the warehousing and logistics to ensure that each load of concrete rebar and steel meets the standards for quality and safety needed and is available to the right people at the right time — as even a single fault can have catastrophic consequences or cause serious delays in project success. This warehouse and the associated logistics play the role of the feature store, ensuring that data is delivered consistently where and when it is needed to train and run ML models.
 
+<!-- truncate -->
+
 ## What is a feature? 
 
 A feature is a transformed or enriched data that serves as an input into a machine learning model to make predictions.  In machine learning, a data scientist derives features from various data sources to build a model that makes predictions based on historical data. To capture the value from this model, the enterprise must operationalize the data pipeline, ensuring that the features being used in production at inference time match those being used in training and development.

website/docs/docs/cloud/dbt-copilot.md

@@ -13,7 +13,7 @@ dbt Copilot is a powerful artificial intelligence (AI) engine that's fully integ
 :::tip Beta feature
 dbt Copilot is designed to _help_ developers generate documentation, tests, and semantic models in dbt Cloud. It's available in beta, in the dbt Cloud IDE only.
 
-To use dbt Copilot, you must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing) and agree to use dbt Labs' OpenAI key. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta or reach out to your Account team to begin this process.
+To use dbt Copilot, you must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing) and either agree to use dbt Labs' OpenAI key or provide your own Open AI API key. [Register here](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) or reach out to the Account Team if you're interested in joining the private beta.
 :::
 
 <Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-copilot-doc.gif" width="100%" title="Example of using dbt Copilot to generate documentation in the IDE" />

website/docs/docs/cloud/enable-dbt-copilot.md

@@ -13,12 +13,12 @@ This page explains how to enable the dbt Copilot engine in dbt Cloud, leveraging
 - Available in the dbt Cloud IDE only.
 - Must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing).
 - Development environment has been upgraded to ["Versionless"](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless).
-- Current dbt Copilot deployments use a central OpenAI API key managed by dbt Labs. In the future, you may provide your own key for Azure OpenAI or OpenAI.
+- By default, dbt Copilot deployments use a central OpenAI API key managed by dbt Labs. Alternatively, you can [provide your own OpenAI API key](#bringing-your-own-openai-api-key-byok).
 - Accept and sign legal agreements. Reach out to your Account team to begin this process.
 
 ## Enable dbt Copilot
 
-dbt Copilot is only available at an account level after your organization has signed the legal requirements. It's disabled by default. A dbt Cloud admin(s) can enable it by following these steps:
+dbt Copilot is only available to your account after your organization has signed the required legal documents. It's disabled by default. A dbt Cloud admin can enable it by following these steps:
 
 1. Navigate to **Account settings** in the navigation menu.
 
@@ -32,4 +32,20 @@ dbt Copilot is only available at an account level after your organization has si
 
 Note: To disable (only after enabled), repeat steps 1 to 3, toggle off in step 4, and repeat step 5.
 
-<Lightbox src="/img/docs/deploy/example-account-settings.png" width="90%" title="Example of the 'Enable account access to AI-powered feature' option in Account settings" />
+<Lightbox src="/img/docs/deploy/example-account-settings.png" width="90%" title="Example of the 'Enable account access to AI-powered feature' option in Account settings" />
+
+### Bringing your own OpenAI API key (BYOK)
+
+Once AI features have been enabled, you can provide your organization's OpenAI API key. dbt Cloud will then leverage your OpenAI account and terms to power dbt CoPilot. This will incur billing charges to your organization from OpenAI for requests made by dbt CoPilot.
+
+Note that Azure OpenAI is not currently supported, but will be in the future.
+
+A dbt Cloud admin can provide their API key by following these steps:
+
+1. Navigate to **Account settings** in the side menu.
+
+2. Find the **Settings** section and click on **Integrations**.
+
+3. Scroll to **AI** and select the toggle for **OpenAI**
+
+4. Enter your API key and click **Save**.