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Update README.md
#3783
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strickvl
commented
Jun 30, 2025
- Updated README
- new images
- Revised section titles for improved readability, changing "Stack-agnostic: keep your code the same" to "Write Code Once, Run Anywhere" and "Built for platform teams" to "Automatic Versioning for MLOps and LLMOps". - Expanded descriptions to better articulate ZenML's functionality, including examples of code snippets for pipelines and steps. - Added visual ideas to illustrate key features and workflows, enhancing the documentation's engagement and usability. - Included new sections on integrating tools and building production-grade AI workflows, showcasing ZenML's versatility in MLOps and LLMOps contexts.
- Updated the section title from "The Hidden Complexity of Production AI" to "Beyond the Demo: The Reality of Production AI" to better reflect the content. - Enhanced the description of challenges faced when transitioning from POC to production, emphasising the complexities of evaluation pipelines, document processing, cost tracking, and compliance. - Added specific target audiences for ZenML, highlighting its benefits for platform teams, enterprises, and organisations in regulated industries. - Removed outdated sections to streamline the document and improve focus on ZenML's orchestration capabilities.
- Modified the `my_training_pipeline` function to return the trained model, improving the pipeline's utility. - Updated the description of automatic versioning to include code formatting for `scikit-learn`, enhancing readability. - Replaced the `Client().active_step_run.log_metadata` call with `log_metadata` for logging evaluation costs, streamlining the logging process. - Renamed the `training_pipeline_with_integrations` to `llm_finetuning_pipeline` for better alignment with its purpose. - Added an `on_failure` hook to the `llm_trainer` step, improving error handling in the pipeline. - Ensured consistent formatting and clarity throughout the README for better user understanding.
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Documentation Link Check Results✅ Absolute links check passed |
Images automagically compressed by Calibre's image-actions ✨ Compression reduced images by 28.9%, saving 252.30 KB.
361 images did not require optimisation. Update required: Update image-actions configuration to the latest version before 1/1/21. See README for instructions. |
Images automagically compressed by Calibre's image-actions ✨ Compression reduced images by 46.5%, saving 201.02 KB.
365 images did not require optimisation. Update required: Update image-actions configuration to the latest version before 1/1/21. See README for instructions. |
im gonna merge this and do an updated PR for refinement |
* initial * more * interim * Update README.md to enhance clarity and detail on ZenML's capabilities - Revised section titles for improved readability, changing "Stack-agnostic: keep your code the same" to "Write Code Once, Run Anywhere" and "Built for platform teams" to "Automatic Versioning for MLOps and LLMOps". - Expanded descriptions to better articulate ZenML's functionality, including examples of code snippets for pipelines and steps. - Added visual ideas to illustrate key features and workflows, enhancing the documentation's engagement and usability. - Included new sections on integrating tools and building production-grade AI workflows, showcasing ZenML's versatility in MLOps and LLMOps contexts. * Revise README.md to clarify ZenML's role in production AI - Updated the section title from "The Hidden Complexity of Production AI" to "Beyond the Demo: The Reality of Production AI" to better reflect the content. - Enhanced the description of challenges faced when transitioning from POC to production, emphasising the complexities of evaluation pipelines, document processing, cost tracking, and compliance. - Added specific target audiences for ZenML, highlighting its benefits for platform teams, enterprises, and organisations in regulated industries. - Removed outdated sections to streamline the document and improve focus on ZenML's orchestration capabilities. * Update README.md to enhance clarity and functionality of ZenML pipelines - Modified the `my_training_pipeline` function to return the trained model, improving the pipeline's utility. - Updated the description of automatic versioning to include code formatting for `scikit-learn`, enhancing readability. - Replaced the `Client().active_step_run.log_metadata` call with `log_metadata` for logging evaluation costs, streamlining the logging process. - Renamed the `training_pipeline_with_integrations` to `llm_finetuning_pipeline` for better alignment with its purpose. - Added an `on_failure` hook to the `llm_trainer` step, improving error handling in the pipeline. - Ensured consistent formatting and clarity throughout the README for better user understanding. * update README(s) * More README updates * README improvements * remove zenml go * Small update for LLM support * update header * use other version's line * improve secrets section * Remove excess * Remove decision maker section * Footer changes * Update README * Optimised images with calibre/image-actions * Update the use case example so that it all connects * Update README with improved MLOps messaging * Add version 0.83.1 release notes to README * Update latest release link in README.md * Update README with new content about AI agent development * Delete compliance, RAG pipeline, architecture, and orchestrator images * Add images for problem and development lifecycle * Optimised images with calibre/image-actions --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Hamza Tahir <[email protected]> Co-authored-by: Hamza Tahir <[email protected]> (cherry picked from commit c049143)