gemini-code-assist[bot] commented on PR #36437:
URL: https://github.com/apache/beam/pull/36437#issuecomment-3381268801

   ## Summary of Changes
   
   Hello @Amar3tto, I'm Gemini Code Assist[^1]! I'm currently reviewing this 
pull request and will post my feedback shortly. In the meantime, here's a 
summary to help you and other reviewers quickly get up to speed!
   
   This PR updates the ML inference benchmarks README to include a detailed 
guide on how to add new ML benchmark pipelines. It also updates existing links 
and adds descriptions for new PyTorch and VLLM benchmarks.
   
   ### Highlights
   
   * **Intent**: This pull request aims to provide comprehensive documentation 
on how to add new Machine Learning (ML) benchmark pipelines to the project. It 
clarifies the process for developers looking to contribute new performance 
tests for ML inference.
   * **Changes**: The primary change is an update to the 
`sdks/python/apache_beam/testing/benchmarks/inference/README.md` file. This 
update includes:
   1.  **Updated Links:** Several outdated links related to performance 
dashboards and benchmark definitions have been corrected and updated.
   2.  **New Benchmark Descriptions:** Added detailed descriptions for two new 
ML benchmarks: 'PyTorch Sentiment Analysis DistilBERT base' and 'VLLM Gemma 2b 
Batch Performance on Tesla T4', including model, accelerator, host details, and 
links to their implementations.
   3.  **New Guide: 'How to add a new ML benchmark pipeline':** A detailed, 
step-by-step guide (9 steps) has been added. This guide covers the entire 
process from creating pipeline and benchmark implementations, configuring 
GitHub Actions, testing, verifying metrics in BigQuery, updating the website, 
to creating Looker content for performance visualization.
   * **Reviewer Activity**: No specific reviewer activity has been recorded or 
provided in the context for this pull request.
   
   
   
   
   
   
   
   <details>
   <summary><b>Using Gemini Code Assist</b></summary>
   <br>
   
   The full guide for Gemini Code Assist can be found on our [documentation 
page](https://developers.google.com/gemini-code-assist/docs/review-github-code),
 here are some quick tips.
   
   <b>Invoking Gemini</b>
   
   You can request assistance from Gemini at any point by creating a comment 
using either `/gemini <command>` or `@gemini-code-assist <command>`. Below is a 
summary of the supported commands on the current page.
   
   Feature | Command | Description
   --- | --- | ---
   Code Review | `/gemini review` | Performs a code review for the current pull 
request in its current state.
   Pull Request Summary | `/gemini summary` | Provides a summary of the current 
pull request in its current state.
   Comment | @gemini-code-assist | Responds in comments when explicitly tagged, 
both in pull request comments and review comments.
   Help | `/gemini help` | Displays a list of available commands.
   
   <b>Customization</b>
   
   To customize Gemini Code Assist for GitHub experience, repository 
maintainers can create a configuration file and/or provide a custom code review 
style guide (such as PEP-8 for Python) by creating and adding files to a 
`.gemini/` folder in the base of the repository. Detailed instructions can be 
found 
[here](https://developers.google.com/gemini-code-assist/docs/customize-gemini-behavior-github).
   
   <b>Limitations & Feedback</b>
   
   Gemini Code Assist may make mistakes. Please leave feedback on any instances 
where its feedback is incorrect or counter productive. You can react with 
:thumbsup: and :thumbsdown: on @gemini-code-assist comments. If you're 
interested in giving your feedback about your experience with Gemini Code 
Assist for Github and other Google products, sign up 
[here](https://google.qualtrics.com/jfe/form/SV_2cyuGuTWsEw84yG).
   
   <b>You can also get AI-powered code generation, chat, as well as code 
reviews directly in the IDE at no cost with the [Gemini Code Assist IDE 
Extension](https://cloud.google.com/products/gemini/code-assist).</b>
   </details>
   
   
   
   
   [^1]: Review the [Privacy Notices](https://policies.google.com/privacy), 
[Generative AI Prohibited Use 
Policy](https://policies.google.com/terms/generative-ai/use-policy), [Terms of 
Service](https://policies.google.com/terms), and learn how to configure Gemini 
Code Assist in GitHub 
[here](https://developers.google.com/gemini-code-assist/docs/customize-gemini-behavior-github).
 Gemini can make mistakes, so double check it and [use code with 
caution](https://support.google.com/legal/answer/13505487).
   


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]

Reply via email to