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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Fine-tuning LLMs to Write Data Science Code

**[Medium](https://daily.dev/sources/medium_js)** · 4 min read · 7 upvotes · 0 comments

## Summary

This post explores the process of fine-tuning LLMs for writing data science code using Gemma. It discusses the use of Gemma models, the installation and import of Keras and KerasNLP, and the configuration of the model. It also introduces the concept of LoRA and its benefits in fine-tuning LLMs. The post concludes with tips for improving the fine-tuning process.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/bitgrit-data-science-publication/fine-tuning-llms-to-write-data-science-code-3a76c23ff6b7>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#deep-learning](https://daily.dev/tags/deep-learning), [#llm](https://daily.dev/tags/llm)

[View this post on daily.dev](https://daily.dev/posts/fine-tuning-llms-to-write-data-science-code-exsxrkckn)

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