remove studio and GTO docs (#5446)

* remove studio and GTO docs

* fix gto links in docs/blogs

* fix Studio links in docs/blogs

* fix links

* Revert "disable scripts"

This reverts commit ba5b4c6.

Author: skshetry

.yarnrc.yml

@@ -3,4 +3,3 @@ defaultSemverRangePrefix: ''
 nodeLinker: node-modules
 
 yarnPath: .yarn/releases/yarn-4.9.2.cjs
-enableScripts: false

content/authors/daniel_kharitonov.md

@@ -5,4 +5,4 @@ links:
   - https://www.linkedin.com/in/danielkharitonov/
 ---
 
-Technical Product Manager at [DVC.ai}(https://dvc.ai)]
+Technical Product Manager at [Iterative.ai}(https://iterative.ai)]

content/basic-concepts/artifact.md

@@ -5,6 +5,5 @@ tooltip: >-
   An artifact is a model or other file or directory for which structured
   metadata  (name, type, description, and one or more labels) may be stored in
   [`dvc.yaml`](/doc/user-guide/project-structure/dvcyaml-files#artifacts) files.
-  Model artifact metadata is used in the [model
-  registry](/doc/studio/user-guide/model-registry).
+  Model artifact metadata is used in the model registry.
 ---

content/blogs/2021-06-02-introducing-dvc-studio.md

@@ -7,9 +7,8 @@ description: >
   on top of DVC and Git. Read all about the exciting features and watch videos
   to get started quickly.
 descriptionLong: >
-  With [DVC Studio](https://studio.datachain.ai), you can use Git and
-  [DVC](https://dvc.org) to track your code, ML models, metrics,
-  hyperparameters, and data, all together.
+  With DVC Studio, you can use Git and [DVC](https://dvc.org) to track your
+  code, ML models, metrics, hyperparameters, and data, all together.
 
   Experiment tracking, visualization and collaboration can be done through a
   visual UI. Even running new iterations becomes a matter of clicking a few
@@ -47,10 +46,9 @@ journeys even more smooth.
 
 ## How does DVC Studio work?
 
-DVC Studio is a web application that you can
-[access online](https://studio.datachain.ai/) or even host on-prem. It works
-with the data, metrics and hyperparameters that you add to your ML project
-repositories.
+DVC Studio is a web application that you can access online or even host on-prem.
+It works with the data, metrics and hyperparameters that you add to your ML
+project repositories.
 
 ![](../uploads/images/2021-06-02/dvc-studio-view.png)_Each experiment,
 represented by a commit in your Git history, is presented along with its data,
@@ -153,9 +151,6 @@ Get started at [https://studio.datachain.ai](https://studio.datachain.ai).
 Simply connect with your GitHub, GitLab or Bitbucket account. No additional
 sign-ups are required.
 
-For more information on how to use DVC Studio, please check out the
-[docs](https://dvc.org/doc/studio).
-
 DVC Studio is completely free for individuals and small teams. Let us know if
 you would like to set up DVC Studio
 for[ 5+ member teams](https://form.typeform.com/to/nydf3Oys?typeform-medium=embed-snippet)

content/blogs/2022-06-29-june-22-community-gems.md

@@ -44,13 +44,8 @@ Good question about [Iterative Studio](https://studio.datachain.ai/) from
 @LilDataScientist!
 
 This is something that our users asked quite a bit, so we wrote up a whole guide
-about
-[custom GitLab server connections](https://dvc.org/doc/studio/user-guide/connect-custom-gitlab-server).
-It's a quick walkthrough of how to set up the permissions you'll need and
-connecting your team to Studio.
-
-You can find lots of great guides and explanations about everything Studio in
-the [User Guide](https://dvc.org/doc/studio/user-guide) section of the docs!
+about custom GitLab server connections. It's a quick walkthrough of how to set
+up the permissions you'll need and connecting your team to Studio.
 
 ## [How does `dvc get-url` interact with the cache compared to `dvc import-url`?](https://discord.com/channels/485586884165107732/563406153334128681/981862313076346920)
 

content/blogs/2022-07-26-iterative-studio-model-registry.md

@@ -177,10 +177,6 @@ Start using [Iterative Studio Model Registry] today. And answer all the who,
 what, why, where and when questions of your team's model production directly
 from the information in your Git repository.
 
-Refer to the [documentation and tutorials][docs] to get started. To request
-support or share feedback, you can [email me] or create a support ticket on
-[GitHub][github support repo].
-
 https://www.youtube.com/watch?v=DYeVI-QrHGI
 
 [iterative studio model registry]: https://studio.datachain.ai/
@@ -190,6 +186,5 @@ https://www.youtube.com/watch?v=DYeVI-QrHGI
 [gto]: https://github.com/iterative/gto
 [mlem]: https://mlem.ai/
 [semver]: https://semver.org/
-[docs]: https://dvc.org/doc/studio/user-guide/model-registry
 [email me]: mailto:[email protected]
 [github support repo]: https://github.com/iterative/studio-support

content/blogs/2022-08-16-august-22-heartbeat.md

@@ -189,8 +189,8 @@ incorporated in Studio in a web UI. This release took the work of half the
 people in the company and we are proud of the steps we are taking to meet people
 where they are and round out your options whether you are comfortable in the
 CLI, API, or web UI. Be sure to try it out and give us your feedback. Learn more
-[in the blog post](https://dvc.org/blog/iterative-studio-model-registry) and
-[in the docs](https://dvc.org/doc/studio/user-guide/model-registry/what-is-a-model-registry).
+[in the blog post](https://dvc.org/blog/iterative-studio-model-registry).
+
 Look out for a full tutorial coming soon!
 
 https://www.youtube.com/watch?v=DYeVI-QrHGI
@@ -322,8 +322,6 @@ _Iterative is Hiring
 
 ### ✍🏼 Doc Updates
 
-- As noted above there are
-  [new docs for Iterative Studio's Model Registry](https://dvc.org/doc/studio/user-guide/model-registry/what-is-a-model-registry)
 - In case you missed it, CML now supports
   [Bitbucket](https://bitbucket.org/product)! You can find the
   [docs for the Bitbucket integration here](https://cml.dev/doc/start/bitbucket#get-started-with-cml-on-bitbucket).

content/blogs/2022-11-18-november-2022-heartbeat.md

@@ -381,11 +381,8 @@ greatest updates below.
 ### Iterative Studio docs
 
 - DataChain Studio now supports adding a model from a remote location in
-  Iterative Studio. Find out more
-  [here](https://dvc.org/doc/studio/user-guide/model-registry/add-a-model).
-- Use the new Iterative Studio Wizard to set up CML in your CI. More on the
-  process and parameters
-  [here in the docs.](https://dvc.org/doc/studio/user-guide/projects-and-experiments/run-experiments#use-the-iterative-studio-wizard-to-set-up-your-ci-action)
+  Iterative Studio.
+- Use the new Iterative Studio Wizard to set up CML in your CI.
 
 ---
 

content/blogs/2022-12-07-gto-model-registry.md

@@ -284,9 +284,10 @@ $ gto show --repo $REPO
 ╘════════════╧══════════╧════════╛
 ```
 
-When running `gto show` for a specific model, we will get all of its registered
-versions. Notice that the stage is marked at the latest version that was
-assigned to it - to signal the currently deployed model version in that stage:
+When running [`gto show`](https://mlem.ai/doc/gto/command-reference/show) for a
+specific model, we will get all of its registered versions. Notice that the
+stage is marked at the latest version that was assigned to it - to signal the
+currently deployed model version in that stage:
 
 ```
 $ gto show classifier --repo $REPO
@@ -348,13 +349,11 @@ in and add the repo:
 Besides the `classifier` model that we just registered, you can also see three
 other models from our example `demo-bank-customer-churn` repo.
 
-Behind the scenes,
-[Iterative Studio just uses GTO API](https://dvc.org/doc/studio), so there are
-no new magic tricks here (and you can also use GTO API from your automation
-Python code if you wish). Feel free to play around to register more versions,
-assign stages or annotate the other models you have, and see how Studio can help
-you track model lineage, audit events, and connect model versions to DVC
-experiments.
+Behind the scenes, DVC Studio just uses GTO API, so there are no new magic
+tricks here (and you can also use GTO API from your automation Python code if
+you wish). Feel free to play around to register more versions, assign stages or
+annotate the other models you have, and see how Studio can help you track model
+lineage, audit events, and connect model versions to DVC experiments.
 
 ## What’s next?
 

content/blogs/2023-02-13-dvclive-metrics-studio.md

@@ -136,24 +136,22 @@ to optimize the training process and improve the performance of the model.
 ```
 
 Additionally, we can also use Studio to analyze and visualize the results of our
-experiments, making it easy to share and collaborate with others.
-[By providing the STUDIO_TOKEN](https://dvc.org/doc/studio/user-guide/projects-and-experiments/live-metrics-and-plots),
-DVCLive will automatically post the results of the experiment to Studio. To do
-this, first, let’s obtain an individual token from the user profile page in
-Studio.
+experiments, making it easy to share and collaborate with others. By providing
+the STUDIO_TOKEN, DVCLive will automatically post the results of the experiment
+to Studio. To do this, first, let’s obtain an individual token from the user
+profile page in Studio.
 
 ![Generate Iterative Studio Access token](../uploads/images/2023-02-13/studio-access-token.png '=800')
 _Generating Studio Access Token in the Iterative Studio Profile page
 ([Source link](https://studio.datachain.ai))_
 
 By providing this token as an environment variable, we can access the results of
-our experiments in an
-[Iterative Studio project](https://dvc.org/doc/studio/get-started). The project
-lets you compare them with previous experiments, helps you find insights to
-improve our model and share it with others.
+our experiments in an DVC Studio project. The project lets you compare them with
+previous experiments, helps you find insights to improve our model and share it
+with others.
 
-![Comparison in Iterative Studio](../uploads/images/2023-02-13/iterative-studio-live-metrics.png '=800')
-_Compare with previous experiments in Iterative Studio
+![Comparison in DVC Studio](../uploads/images/2023-02-13/iterative-studio-live-metrics.png '=800')
+_Compare with previous experiments in DVC Studio
 ([Source link](https://studio.datachain.ai))_
 
 To export the token run the command below with the token obtained from your