doc: JumpStart Utility Doc Update - #3866

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doc: JumpStart Utility Doc Update#3866
knikure merged 14 commits into
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@judyheflinjudyheflin commented May 17, 2023•
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Description of changes: Added documentation for low-code JumpStart model deployment and fine-tuning. Included JumpStartModel, JumpStartEstimator, and utility APIs in the docs.

Testing done: Staged on local build successfully and passed tox checks.

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  • [ x] I have read the CONTRIBUTING doc
  • [ x] I certify that the changes I am introducing will be backward compatible, and I have discussed concerns about this, if any, with the Python SDK team
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  • [ x] I have passed the region in to all S3 and STS clients that I've initialized as part of this change.
  • [ x] I have updated any necessary documentation, including READMEs and API docs (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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@judyheflin Can you fix these doc8 errors:

/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.

@knikureknikure self-assigned this May 18, 2023
@judyheflin

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@judyheflin Can you fix these doc8 errors:

/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.

Yes will do -- this PR is still a WIP.

JGuinegagne
JGuinegagne reviewed May 18, 2023
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Comment threaddoc/overview.rst Outdated

Deploy a Pre-Trained Model Directly to a SageMaker Endpoint
Low-code Deployment
===================

@JGuinegagneJGuinegagneMay 18, 2023

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How about moving Low-code Deployment section before built-in Components section?

That way, users would don't want to dive deeper into the underlying mechanics can stop reading after the Low-code Deployment section and try it out.

@judyheflinjudyheflinMay 26, 2023

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Restructured the order based on this feedback

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evakravi
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Comment threaddoc/overview.rst
.. code:: python

from sagemaker import model_uris
question = "What is Southern California often abbreviated as?"

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can we use a more generic payload, like hello world!? I don't want to set the expectation that this is the kind of payload that should be given.

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Yep, can do -- will make both of these more generic

@JGuinegagneJGuinegagneMay 30, 2023

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Could you check with @khetan2 please?

Since this is a generative model, I feel like we should ask it a question.

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This payload was the example for another model, so I'm not sure it's appropriate here

@judyheflinjudyheflinMay 31, 2023•
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After thinking about this more and discussing with Ashish, FLAN-T5 XL is currently our #1 recommended model for question/answering, so this example prompt is fine here. GPT-J (the other example model) can also be used for question/answering, but is more flexible for additional use cases. We can mention that GPT-J can be used for things like code generation, summarization, and more, but the q&a example will still be applicable. In general, customers can explore our documentation, the pretrained models table, and example notebooks to find appropriate use cases for each model.

evakravi
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Comment threaddoc/overview.rst
and https://github.com/aws/sagemaker-scikit-learn-container. Use
the ``model_id`` and ``version`` of the corresponding model to
retrieve the related image as follows.
To check valid data input and output formats for inference, you can use the ``retrieve_options()`` method

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can we also mention the content type and accept type utilities?

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Comment threaddoc/overview.rst

.. code:: python

question = "What is Southern California often abbreviated as?"

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same question here about the payload

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@judyheflin
judyheflinforce-pushed the judyheflin-jumpstart-doc-update branch from 973e8ec to d970f91CompareJune 1, 2023 22:56
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@knikure
knikure merged commit b538525 into aws:masterJun 2, 2023
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
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doc: JumpStart Utility Doc Update (aws#3866)
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doc: JumpStart Utility Doc Update - #3866
Merged
knikure merged 14 commits into
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judyheflin:judyheflin-jumpstart-doc-update
Jun 2, 2023
Merged
doc: JumpStart Utility Doc Update#3866
knikure merged 14 commits into
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judyheflin:judyheflin-jumpstart-doc-update
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@judyheflin
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Description of changes: Added documentation for low-code JumpStart model deployment and fine-tuning. Included JumpStartModel, JumpStartEstimator, and utility APIs in the docs.
Testing done: Staged on local build successfully and passed tox checks.
Merge Checklist
Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.
General
  • [ x] I have read the CONTRIBUTING doc
  • [ x] I certify that the changes I am introducing will be backward compatible, and I have discussed concerns about this, if any, with the Python SDK team
  • [ x] I used the commit message format described in CONTRIBUTING
  • [ x] I have passed the region in to all S3 and STS clients that I've initialized as part of this change.
  • [ x] I have updated any necessary documentation, including READMEs and API docs (if appropriate)
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
Yes will do -- this PR is still a WIP.
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Comment threaddoc/overview.rst
Outdated


Deploy a Pre-Trained Model Directly to a SageMaker Endpoint
Low-code Deployment
===================
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How about moving Low-code Deployment section before built-in Components section?
That way, users would don't want to dive deeper into the underlying mechanics can stop reading after the Low-code Deployment section and try it out.
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Restructured the order based on this feedback
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Comment threaddoc/overview.rst
.. code:: python

 from sagemaker import model_uris
 question = "What is Southern California often abbreviated as?"
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can we use a more generic payload, like hello world!? I don't want to set the expectation that this is the kind of payload that should be given.
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Yep, can do -- will make both of these more generic
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Could you check with @khetan2 please?
Since this is a generative model, I feel like we should ask it a question.
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This payload was the example for another model, so I'm not sure it's appropriate here
@judyheflinjudyheflinMay 31, 2023•

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After thinking about this more and discussing with Ashish, FLAN-T5 XL is currently our #1 recommended model for question/answering, so this example prompt is fine here. GPT-J (the other example model) can also be used for question/answering, but is more flexible for additional use cases. We can mention that GPT-J can be used for things like code generation, summarization, and more, but the q&a example will still be applicable. In general, customers can explore our documentation, the pretrained models table, and example notebooks to find appropriate use cases for each model.
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Comment threaddoc/overview.rst
and https://github.com/aws/sagemaker-scikit-learn-container. Use
the ``model_id`` and ``version`` of the corresponding model to
retrieve the related image as follows.
To check valid data input and output formats for inference, you can use the ``retrieve_options()`` method
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can we also mention the content type and accept type utilities?
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.. code:: python

 question = "What is Southern California often abbreviated as?"
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same question here about the payload
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doc: JumpStart Utility Doc Update (aws#3866)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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doc: JumpStart Utility Doc Update - #3866
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Description of changes: Added documentation for low-code JumpStart model deployment and fine-tuning. Included JumpStartModel, JumpStartEstimator, and utility APIs in the docs.
Testing done: Staged on local build successfully and passed tox checks.
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Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.
General
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  • [ x] I have updated any necessary documentation, including READMEs and API docs (if appropriate)
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
Yes will do -- this PR is still a WIP.
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Comment threaddoc/overview.rst
Outdated


Deploy a Pre-Trained Model Directly to a SageMaker Endpoint
Low-code Deployment
===================
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How about moving Low-code Deployment section before built-in Components section?
That way, users would don't want to dive deeper into the underlying mechanics can stop reading after the Low-code Deployment section and try it out.
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Restructured the order based on this feedback
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Comment threaddoc/overview.rst
.. code:: python

 from sagemaker import model_uris
 question = "What is Southern California often abbreviated as?"
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can we use a more generic payload, like hello world!? I don't want to set the expectation that this is the kind of payload that should be given.
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Yep, can do -- will make both of these more generic
@JGuinegagneJGuinegagneMay 30, 2023

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Could you check with @khetan2 please?
Since this is a generative model, I feel like we should ask it a question.
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This payload was the example for another model, so I'm not sure it's appropriate here
@judyheflinjudyheflinMay 31, 2023•

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After thinking about this more and discussing with Ashish, FLAN-T5 XL is currently our #1 recommended model for question/answering, so this example prompt is fine here. GPT-J (the other example model) can also be used for question/answering, but is more flexible for additional use cases. We can mention that GPT-J can be used for things like code generation, summarization, and more, but the q&a example will still be applicable. In general, customers can explore our documentation, the pretrained models table, and example notebooks to find appropriate use cases for each model.
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Comment threaddoc/overview.rst
and https://github.com/aws/sagemaker-scikit-learn-container. Use
the ``model_id`` and ``version`` of the corresponding model to
retrieve the related image as follows.
To check valid data input and output formats for inference, you can use the ``retrieve_options()`` method
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can we also mention the content type and accept type utilities?
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Comment threaddoc/overview.rst

.. code:: python

 question = "What is Southern California often abbreviated as?"
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same question here about the payload
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doc: JumpStart Utility Doc Update (aws#3866)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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doc: JumpStart Utility Doc Update - #3866
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Description of changes: Added documentation for low-code JumpStart model deployment and fine-tuning. Included JumpStartModel, JumpStartEstimator, and utility APIs in the docs.
Testing done: Staged on local build successfully and passed tox checks.
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Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.
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  • [ x] I have read the CONTRIBUTING doc
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By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
Yes will do -- this PR is still a WIP.
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Comment threaddoc/overview.rst
Outdated


Deploy a Pre-Trained Model Directly to a SageMaker Endpoint
Low-code Deployment
===================
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How about moving Low-code Deployment section before built-in Components section?
That way, users would don't want to dive deeper into the underlying mechanics can stop reading after the Low-code Deployment section and try it out.
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Restructured the order based on this feedback
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Comment threaddoc/overview.rst
.. code:: python

 from sagemaker import model_uris
 question = "What is Southern California often abbreviated as?"
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can we use a more generic payload, like hello world!? I don't want to set the expectation that this is the kind of payload that should be given.
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Yep, can do -- will make both of these more generic
@JGuinegagneJGuinegagneMay 30, 2023

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Could you check with @khetan2 please?
Since this is a generative model, I feel like we should ask it a question.
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This payload was the example for another model, so I'm not sure it's appropriate here
@judyheflinjudyheflinMay 31, 2023•

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After thinking about this more and discussing with Ashish, FLAN-T5 XL is currently our #1 recommended model for question/answering, so this example prompt is fine here. GPT-J (the other example model) can also be used for question/answering, but is more flexible for additional use cases. We can mention that GPT-J can be used for things like code generation, summarization, and more, but the q&a example will still be applicable. In general, customers can explore our documentation, the pretrained models table, and example notebooks to find appropriate use cases for each model.
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Comment threaddoc/overview.rst
and https://github.com/aws/sagemaker-scikit-learn-container. Use
the ``model_id`` and ``version`` of the corresponding model to
retrieve the related image as follows.
To check valid data input and output formats for inference, you can use the ``retrieve_options()`` method
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can we also mention the content type and accept type utilities?
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Comment threaddoc/overview.rst

.. code:: python

 question = "What is Southern California often abbreviated as?"
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same question here about the payload
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doc: JumpStart Utility Doc Update (aws#3866)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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doc: JumpStart Utility Doc Update - #3866
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Description of changes: Added documentation for low-code JumpStart model deployment and fine-tuning. Included JumpStartModel, JumpStartEstimator, and utility APIs in the docs.
Testing done: Staged on local build successfully and passed tox checks.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
Yes will do -- this PR is still a WIP.
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Comment threaddoc/overview.rst
Outdated


Deploy a Pre-Trained Model Directly to a SageMaker Endpoint
Low-code Deployment
===================
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How about moving Low-code Deployment section before built-in Components section?
That way, users would don't want to dive deeper into the underlying mechanics can stop reading after the Low-code Deployment section and try it out.
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Restructured the order based on this feedback
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Comment threaddoc/overview.rst
.. code:: python

 from sagemaker import model_uris
 question = "What is Southern California often abbreviated as?"
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can we use a more generic payload, like hello world!? I don't want to set the expectation that this is the kind of payload that should be given.
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Yep, can do -- will make both of these more generic
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Could you check with @khetan2 please?
Since this is a generative model, I feel like we should ask it a question.
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This payload was the example for another model, so I'm not sure it's appropriate here
@judyheflinjudyheflinMay 31, 2023•

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After thinking about this more and discussing with Ashish, FLAN-T5 XL is currently our #1 recommended model for question/answering, so this example prompt is fine here. GPT-J (the other example model) can also be used for question/answering, but is more flexible for additional use cases. We can mention that GPT-J can be used for things like code generation, summarization, and more, but the q&a example will still be applicable. In general, customers can explore our documentation, the pretrained models table, and example notebooks to find appropriate use cases for each model.
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Comment threaddoc/overview.rst
and https://github.com/aws/sagemaker-scikit-learn-container. Use
the ``model_id`` and ``version`` of the corresponding model to
retrieve the related image as follows.
To check valid data input and output formats for inference, you can use the ``retrieve_options()`` method
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can we also mention the content type and accept type utilities?
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Comment threaddoc/overview.rst

.. code:: python

 question = "What is Southern California often abbreviated as?"
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same question here about the payload
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doc: JumpStart Utility Doc Update (aws#3866)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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doc: JumpStart Utility Doc Update - #3866
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Description of changes: Added documentation for low-code JumpStart model deployment and fine-tuning. Included JumpStartModel, JumpStartEstimator, and utility APIs in the docs.
Testing done: Staged on local build successfully and passed tox checks.
Merge Checklist
Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.
General
  • [ x] I have read the CONTRIBUTING doc
  • [ x] I certify that the changes I am introducing will be backward compatible, and I have discussed concerns about this, if any, with the Python SDK team
  • [ x] I used the commit message format described in CONTRIBUTING
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  • [ x] I have updated any necessary documentation, including READMEs and API docs (if appropriate)
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
Yes will do -- this PR is still a WIP.
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Comment threaddoc/overview.rst
Outdated


Deploy a Pre-Trained Model Directly to a SageMaker Endpoint
Low-code Deployment
===================
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How about moving Low-code Deployment section before built-in Components section?
That way, users would don't want to dive deeper into the underlying mechanics can stop reading after the Low-code Deployment section and try it out.
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Restructured the order based on this feedback
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Comment threaddoc/overview.rst
.. code:: python

 from sagemaker import model_uris
 question = "What is Southern California often abbreviated as?"
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can we use a more generic payload, like hello world!? I don't want to set the expectation that this is the kind of payload that should be given.
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Yep, can do -- will make both of these more generic
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Could you check with @khetan2 please?
Since this is a generative model, I feel like we should ask it a question.
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This payload was the example for another model, so I'm not sure it's appropriate here
@judyheflinjudyheflinMay 31, 2023•

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After thinking about this more and discussing with Ashish, FLAN-T5 XL is currently our #1 recommended model for question/answering, so this example prompt is fine here. GPT-J (the other example model) can also be used for question/answering, but is more flexible for additional use cases. We can mention that GPT-J can be used for things like code generation, summarization, and more, but the q&a example will still be applicable. In general, customers can explore our documentation, the pretrained models table, and example notebooks to find appropriate use cases for each model.
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Comment threaddoc/overview.rst
and https://github.com/aws/sagemaker-scikit-learn-container. Use
the ``model_id`` and ``version`` of the corresponding model to
retrieve the related image as follows.
To check valid data input and output formats for inference, you can use the ``retrieve_options()`` method
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can we also mention the content type and accept type utilities?
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.. code:: python

 question = "What is Southern California often abbreviated as?"
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same question here about the payload
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doc: JumpStart Utility Doc Update (aws#3866)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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doc: JumpStart Utility Doc Update - #3866
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Description of changes: Added documentation for low-code JumpStart model deployment and fine-tuning. Included JumpStartModel, JumpStartEstimator, and utility APIs in the docs.
Testing done: Staged on local build successfully and passed tox checks.
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Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.
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  • [ x] I have read the CONTRIBUTING doc
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By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
Yes will do -- this PR is still a WIP.
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Comment threaddoc/overview.rst
Outdated


Deploy a Pre-Trained Model Directly to a SageMaker Endpoint
Low-code Deployment
===================
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How about moving Low-code Deployment section before built-in Components section?
That way, users would don't want to dive deeper into the underlying mechanics can stop reading after the Low-code Deployment section and try it out.
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Restructured the order based on this feedback
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Comment threaddoc/overview.rst
.. code:: python

 from sagemaker import model_uris
 question = "What is Southern California often abbreviated as?"
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can we use a more generic payload, like hello world!? I don't want to set the expectation that this is the kind of payload that should be given.
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Yep, can do -- will make both of these more generic
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Could you check with @khetan2 please?
Since this is a generative model, I feel like we should ask it a question.
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This payload was the example for another model, so I'm not sure it's appropriate here
@judyheflinjudyheflinMay 31, 2023•

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After thinking about this more and discussing with Ashish, FLAN-T5 XL is currently our #1 recommended model for question/answering, so this example prompt is fine here. GPT-J (the other example model) can also be used for question/answering, but is more flexible for additional use cases. We can mention that GPT-J can be used for things like code generation, summarization, and more, but the q&a example will still be applicable. In general, customers can explore our documentation, the pretrained models table, and example notebooks to find appropriate use cases for each model.
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Comment threaddoc/overview.rst
and https://github.com/aws/sagemaker-scikit-learn-container. Use
the ``model_id`` and ``version`` of the corresponding model to
retrieve the related image as follows.
To check valid data input and output formats for inference, you can use the ``retrieve_options()`` method
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can we also mention the content type and accept type utilities?
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.. code:: python

 question = "What is Southern California often abbreviated as?"
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same question here about the payload
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doc: JumpStart Utility Doc Update (aws#3866)
ea5a105
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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doc: JumpStart Utility Doc Update - #3866
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doc: JumpStart Utility Doc Update#3866
knikure merged 14 commits into
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judyheflin:judyheflin-jumpstart-doc-update
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@judyheflin
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Description of changes: Added documentation for low-code JumpStart model deployment and fine-tuning. Included JumpStartModel, JumpStartEstimator, and utility APIs in the docs.
Testing done: Staged on local build successfully and passed tox checks.
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  • [ x] I have read the CONTRIBUTING doc
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
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@judyheflin
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@judyheflin Can you fix these doc8 errors:
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:588: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:648: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:733: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:734: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:744: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/overview.rst:752: D002 Trailing whitespace
/codebuild/output/src248763720/src/github.com/aws/sagemaker-python-sdk/doc/api/training/estimators.rst:24: D005 No newline at end of file

Finally submit your changes after successfully running ./.githooks/pre-push command.
Yes will do -- this PR is still a WIP.
JGuinegagne
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Comment threaddoc/overview.rst
Outdated


Deploy a Pre-Trained Model Directly to a SageMaker Endpoint
Low-code Deployment
===================
@JGuinegagneJGuinegagneMay 18, 2023

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How about moving Low-code Deployment section before built-in Components section?
That way, users would don't want to dive deeper into the underlying mechanics can stop reading after the Low-code Deployment section and try it out.
@judyheflinjudyheflinMay 26, 2023

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Restructured the order based on this feedback
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Comment threaddoc/overview.rst
.. code:: python

 from sagemaker import model_uris
 question = "What is Southern California often abbreviated as?"
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can we use a more generic payload, like hello world!? I don't want to set the expectation that this is the kind of payload that should be given.
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Yep, can do -- will make both of these more generic
@JGuinegagneJGuinegagneMay 30, 2023

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Could you check with @khetan2 please?
Since this is a generative model, I feel like we should ask it a question.
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This payload was the example for another model, so I'm not sure it's appropriate here
@judyheflinjudyheflinMay 31, 2023•

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After thinking about this more and discussing with Ashish, FLAN-T5 XL is currently our #1 recommended model for question/answering, so this example prompt is fine here. GPT-J (the other example model) can also be used for question/answering, but is more flexible for additional use cases. We can mention that GPT-J can be used for things like code generation, summarization, and more, but the q&a example will still be applicable. In general, customers can explore our documentation, the pretrained models table, and example notebooks to find appropriate use cases for each model.
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Comment threaddoc/overview.rst
and https://github.com/aws/sagemaker-scikit-learn-container. Use
the ``model_id`` and ``version`` of the corresponding model to
retrieve the related image as follows.
To check valid data input and output formats for inference, you can use the ``retrieve_options()`` method
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can we also mention the content type and accept type utilities?
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.. code:: python

 question = "What is Southern California often abbreviated as?"
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same question here about the payload
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doc: JumpStart Utility Doc Update (aws#3866)
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