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ZenML 23

This file is a merged representation of the entire codebase, combining all repository files into a single document.

Generated by Repomix on: 2025-01-30T10:25:45.743Z

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File Summary

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Purpose:

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This file contains a packed representation of the entire repository's contents.

It is designed to be easily consumable by AI systems for analysis, code review,

or other automated processes.

File Format:

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The content is organized as follows:

1. This summary section

2. Repository information

3. Directory structure

4. Multiple file entries, each consisting of:

a. A separator line (================)

b. The file path (File: path/to/file)

c. Another separator line

d. The full contents of the file

e. A blank line

Usage Guidelines:

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- This file should be treated as read-only. Any changes should be made to the

original repository files, not this packed version.

- When processing this file, use the file path to distinguish

between different files in the repository.

- Be aware that this file may contain sensitive information. Handle it with

the same level of security as you would the original repository.

Notes:

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- Some files may have been excluded based on .gitignore rules and Repomix's

configuration.

- Binary files are not included in this packed representation. Please refer to

the Repository Structure section for a complete list of file paths, including

binary files.

Additional Info:

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Directory Structure

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docs/

book/

user-guide/

cloud-guide/

cloud-guide.md

llmops-guide/

evaluation/

evaluation-in-65-loc.md

evaluation-in-practice.md

generation.md

README.md

retrieval.md

finetuning-embeddings/

evaluating-finetuned-embeddings.md

finetuning-embeddings-with-sentence-transformers.md

finetuning-embeddings.md

synthetic-data-generation.md

finetuning-llms/

deploying-finetuned-models.md

evaluation-for-finetuning.md

finetuning-100-loc.md

finetuning-llms.md

finetuning-with-accelerate.md

next-steps.md

starter-choices-for-finetuning-llms.md

why-and-when-to-finetune-llms.md

rag-with-zenml/

basic-rag-inference-pipeline.md

data-ingestion.md

embeddings-generation.md

rag-85-loc.md

README.md

storing-embeddings-in-a-vector-database.md

understanding-rag.md

reranking/

evaluating-reranking-performance.md

implementing-reranking.md

README.md

reranking.md

understanding-reranking.md

README.md

production-guide/

ci-cd.md

cloud-orchestration.md

configure-pipeline.md

connect-code-repository.md

deploying-zenml.md

end-to-end.md

README.md

remote-storage.md

understand-stacks.md