diff --git a/website/docs/usage/projects.md b/website/docs/usage/projects.md
index b5c3a5356..9776dab1b 100644
--- a/website/docs/usage/projects.md
+++ b/website/docs/usage/projects.md
@@ -90,7 +90,7 @@ can also use any private repo you have access to with Git.
 >     git:
 >       repo: 'https://github.com/example/repo'
 >       branch: 'master'
->       path: 'path/developments.spacy'
+>       path: 'path/development.spacy'
 >     checksum: '5113dc04e03f079525edd8df3f4f39e3'
 > ```
 
@@ -910,9 +910,6 @@ https://github.com/explosion/projects/blob/v3/integrations/fastapi/scripts/main.
 
 ### Ray {#ray} <IntegrationLogo name="ray" width={100} height="auto" align="right" />
 
-<Infobox title="This section is still under construction" emoji="🚧" variant="warning">
-</Infobox>
-
 > #### Installation
 >
 > ```cli
@@ -926,21 +923,27 @@ https://github.com/explosion/projects/blob/v3/integrations/fastapi/scripts/main.
 training with spaCy via our lightweight
 [`spacy-ray`](https://github.com/explosion/spacy-ray) extension package. If the
 package is installed in the same environment as spaCy, it will automatically add
-[`spacy ray`](/api/cli#ray) commands to your spaCy CLI.
+[`spacy ray`](/api/cli#ray) commands to your spaCy CLI. See the usage guide on
+[parallel training](/usage/training#parallel-training) for more details on how
+it works under the hood.
 
 You can integrate [`spacy ray train`](/api/cli#ray-train) into your
-`project.yml` just like the regular training command:
+`project.yml` just like the regular training command and pass it the config, and
+optional output directory or remote storage URL and config overrides if needed.
 
 <!-- prettier-ignore -->
 ```yaml
 ### project.yml
-- name: "ray"
+commands:
+  - name: "ray"
     help: "Train a model via parallel training with Ray"
     script:
-      - "python -m spacy ray train configs/config.cfg --paths.train corpus/train.spacy --paths.dev corpus/dev.spacy"
+      - "python -m spacy ray train configs/config.cfg -o training/ --paths.train corpus/train.spacy --paths.dev corpus/dev.spacy"
     deps:
       - "corpus/train.spacy"
       - "corpus/dev.spacy"
+    outputs:
+      - "training/model-best"
 ```
 
 <!-- TODO: <Project id="integrations/ray">
diff --git a/website/docs/usage/training.md b/website/docs/usage/training.md
index 76e2bdeca..65cfb563b 100644
--- a/website/docs/usage/training.md
+++ b/website/docs/usage/training.md
@@ -92,6 +92,26 @@ spaCy's binary `.spacy` format. You can either include the data paths in the
 $ python -m spacy train config.cfg --output ./output --paths.train ./train.spacy --paths.dev ./dev.spacy
 ```
 
+<Accordion title="How are the config recommendations generated?" id="quickstart-source">
+
+The recommended config settings generated by the quickstart widget and the
+[`init config`](/api/cli#init-config) command are based on some general **best
+practices** and things we've found to work well in our experiments. The goal is
+to provide you with the most **useful defaults**.
+
+Under the hood, the
+[`quickstart_training.jinja`](%%GITHUB_SPACY/spacy/cli/templates/quickstart_training.jinja)
+template defines the different combinations – for example, which parameters to
+change if the pipeline should optimize for efficiency vs. accuracy. The file
+[`quickstart_training_recommendations.yml`](%%GITHUB_SPACY/spacy/cli/templates/quickstart_training_recommendations.yml)
+collects the recommended settings and available resources for each language
+including the different transformer weights. For some languages, we include
+different transformer recommendations, depending on whether you want the model
+to be more efficient or more accurate. The recommendations will be **evolving**
+as we run more experiments.
+
+</Accordion>
+
 ## Training config {#config}
 
 Training config files include all **settings and hyperparameters** for training
diff --git a/website/src/components/seo.js b/website/src/components/seo.js
index 0b1d8fda5..d5e6bc3e3 100644
--- a/website/src/components/seo.js
+++ b/website/src/components/seo.js
@@ -8,9 +8,9 @@ import socialImageApi from '../images/social_api.jpg'
 import socialImageUniverse from '../images/social_universe.jpg'
 import socialImageNightly from '../images/social_nightly.jpg'
 
-function getPageTitle(title, sitename, slogan, sectionTitle) {
+function getPageTitle(title, sitename, slogan, sectionTitle, nightly) {
     if (sectionTitle && title) {
-        return `${title} · ${sitename} ${sectionTitle}`
+        return `${title} · ${sitename} ${sectionTitle}${nightly ? ' (nightly)' : ''}`
     }
     if (title) {
         return `${title} · ${sitename}`
@@ -44,7 +44,8 @@ export default function SEO({
                     title,
                     siteMetadata.title,
                     siteMetadata.slogan,
-                    sectionTitle
+                    sectionTitle,
+                    nightly
                 )
                 const socialImage = siteMetadata.siteUrl + getImage(section, nightly)
                 const meta = [